## Installation
To integrate it into your website, paste the below code snippet into the HTML of your footer.
```html theme={null}
```
` elements and all `
` elements. | | element+element | `div + p` | Selects the first `
` element that is placed immediately after `
` elements. |
| \[attribute^=value] | `a[href^="https"]` | Selects every `` element whose href attribute value begins with "https" |
| \[attribute\*=value] | `a[href*="jigsawstack"]` | Selects every `` element whose href attribute value contains the substring "jigsawstack" |
| :active | `a:active` | Selects the active link |
| :link | `a:link` | Selects all unvisited links |
For more resources on CSS selectors, visit
[W3schools](https://www.w3schools.com/cssref/css_selectors.php#gsc.tab=0) and
[MDN](https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_selectors/Selectors_and_combinators)
For resources on using CSS selectors for Scraping, visit
[Scrapingbee](https://www.scrapingbee.com/blog/using-css-selectors-for-web-scraping/#what-is-a-css-selector)
# Screen Size Preset
Source: https://jigsawstack.com/docs/additional-resources/size-preset
The supported screen size presets on JigsawStack APIs.
```json theme={null}
[
{
name: "QVGA",
width: 320,
height: 240,
},
{
name: "VGA",
width: 640,
height: 480,
},
{
name: "SVGA",
width: 800,
height: 600,
},
{
name: "HD",
width: 1280,
height: 720,
},
{
name: "SXGA",
width: 1280,
height: 1024,
},
{
name: "HD+",
width: 1600,
height: 900,
},
{
name: "FHD",
width: 1920,
height: 1080,
},
{
name: "2K",
width: 2048,
height: 1080,
},
{
name: "2K QHD",
width: 2560,
height: 1440,
},
{
name: "5K",
width: 5120,
height: 2880,
},
{
name: "4K UHD",
width: 3840,
height: 2160,
},
{
name: "8K UHD",
width: 7680,
height: 4320,
},
{
name: "iPhone 13 Pro",
width: 1170,
height: 2532,
},
{
name: "iPhone XR",
width: 828,
height: 1792,
},
{
name: "iPhone XS",
width: 1125,
height: 2436,
},
{
name: "iPhone XS Max",
width: 1242,
height: 2688,
},
{
name: "iPhone X",
width: 1125,
height: 2436,
},
{
name: "iPhone 8 Plus",
width: 1080,
height: 1920,
},
{
name: "iPhone 8",
width: 750,
height: 1334,
},
{
name: "iPhone 7 Plus",
width: 1080,
height: 1920,
},
{
name: "iPhone 7",
width: 750,
height: 1334,
},
{
name: "iPhone 6 Plus/6S Plus",
width: 1080,
height: 1920,
},
{
name: "iPhone 6/6S",
width: 750,
height: 1334,
},
{
name: "iPhone 5",
width: 640,
height: 1136,
},
{
name: "iPod Touch",
width: 640,
height: 1136,
},
{
name: "iPad Pro",
width: 2048,
height: 2732,
},
{
name: "iPad Third & Fourth Generation",
width: 1536,
height: 2048,
},
{
name: "iPad Air 1 & 2",
width: 1536,
height: 2048,
},
{
name: "iPad Mini 2 & 3",
width: 1536,
height: 2048,
},
{
name: "iPad Mini",
width: 768,
height: 1024,
},
{
name: "Nexus 6P",
width: 1440,
height: 2560,
},
{
name: "Nexus 5X",
width: 1080,
height: 1920,
},
{
name: "Google Pixel 7 Pro",
width: 1440,
height: 3120,
},
{
name: "Google Pixel 4 XL",
width: 1440,
height: 869,
},
{
name: "Google Pixel 4",
width: 1080,
height: 2280,
},
{
name: "Google Pixel 3a XL",
width: 1080,
height: 2160,
},
{
name: "Google Pixel 3a",
width: 1080,
height: 2220,
},
{
name: "Google Pixel 3 XL",
width: 1440,
height: 2960,
},
{
name: "Google Pixel 3",
width: 1080,
height: 2160,
},
{
name: "Google Pixel 2 XL",
width: 1440,
height: 2560,
},
{
name: "Google Pixel XL",
width: 1440,
height: 2560,
},
{
name: "Google Pixel",
width: 1080,
height: 1920,
},
{
name: "Samsung Galaxy Note 10+",
width: 1440,
height: 3040,
},
{
name: "Samsung Galaxy Note 10",
width: 1080,
height: 2280,
},
{
name: "Samsung Galaxy Note 9",
width: 1440,
height: 2960,
},
{
name: "Samsung Galaxy Note 5",
width: 1440,
height: 2560,
},
{
name: "LG G5",
width: 1440,
height: 2560,
},
{
name: "One Plus 3",
width: 1080,
height: 1920,
},
{
name: "Samsung Galaxy S9+",
width: 1440,
height: 2960,
},
{
name: "Samsung Galaxy S9",
width: 1440,
height: 2960,
},
{
name: "Samsung Galaxy S8+",
width: 1440,
height: 2960,
},
{
name: "Samsung Galaxy S8",
width: 1440,
height: 2960,
},
{
name: "Samsung Galaxy S7 Edge",
width: 1440,
height: 2560,
},
{
name: "Samsung Galaxy S7",
width: 1440,
height: 2560,
},
{
name: "Nexus 9",
width: 1536,
height: 2048,
},
{
name: "Nexus 7 (2013)",
width: 1200,
height: 1920,
},
{
name: "Pixel C",
width: 1800,
height: 2560,
},
{
name: "Samsung Galaxy Tab 10",
width: 800,
height: 1280,
},
{
name: "Chromebook Pixel",
width: 2560,
height: 1700,
},
];
```
# Embedding
Source: https://jigsawstack.com/docs/api-reference/ai/embedding
POST https://api.jigsawstack.com/v1/embedding
Generate vector embeddings from various content types including text, images, audio, and PDF files.
## Request Parameters
### Body
The image url.
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack's [Handling Files](/docs/api-reference/handling-files) section.
The text content to generate embeddings for. Optional if providing content through another method.
The type of content being processed. Must be one of the following values:
* `text`: Plain text input
* `text-other`: Other text format
* `image`: Image content
* `audio`: Audio content
* `pdf`: PDF document
Determines behavior when input exceeds token limits:
* `error`: Return an error (default)
* `truncate`: Truncate the input to fit within token limits
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The vector embedding representation of the input content. This is an array of arrays of floating-point numbers.
Array of text chunks with timestamps. Only available for text and audio content types.
The text content of this chunk.
Array containing start and end time positions for this chunk.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.embedding({
"text": "Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway",
"type": "text"
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.embedding({
"text": "Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway",
"type": "text"
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/embedding \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"text":"Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway","type":"text"}'
```
```php PHP theme={null}
'Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway',
'type' => 'text'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"text":"Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway","type":"text"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/embedding", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/embedding"))
.POST(BodyPublishers.ofString("{\"text\":\"Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway\",\"type\":\"text\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"text": "Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway",
"type": "text"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/embedding")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"text":"Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway","type":"text"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/embedding');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"text\":\"Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway\",\"type\":\"text\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/embedding")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/embedding");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
text = "Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway",
type = "text"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"embeddings": [
[
-0.06269700080156326,
0.0896194726228714,
-0.04227621480822563,
-0.046519096940755844,
-0.02535046637058258,
-0.05726366862654686,
0.022328557446599007,
0.08247677236795425,
-0.01738361269235611,
-0.07240374386310577,
-0.004616806749254465,
-0.025930428877472878,
-0.07008389383554459,
-0.007711212150752544,
-0.09261085838079453,
0.03952902555465698,
0.046824339777231216,
0.035591382533311844,
0.049785204231739044,
0.10872770845890045,
0.04273407906293869,
0.023885298520326614,
0.01059957779943943,
-0.016315260902047157,
-0.03888801112771034,
0.1354059875011444,
0.027029305696487427,
0.01054615993052721,
-0.02821975387632847,
-0.003025725483894348,
-0.08235467970371246,
-0.09102358669042587,
-0.009630430489778519,
-0.0015147705562412739,
0.07698239386081696,
-0.007325842045247555,
-0.07918014377355576,
-0.005986586678773165,
0.004719826392829418,
-0.028372377157211304,
-0.06593257933855057,
0.06052977219223976,
0.013300982303917408,
0.024984175339341164,
-0.04926628991961479,
-0.008699437603354454,
-0.030417507514357567,
0.03968164697289467,
0.026174623519182205,
-0.008371300995349884,
-0.0328136682510376,
-0.004681671038269997,
-0.013049156405031681,
0.03330205753445625,
0.04252040758728981,
-0.02930336818099022,
-0.14273183047771454,
0.05079250782728195,
0.07582246512174606,
-0.052959732711315155,
0.0082034170627594,
-0.004189466126263142,
-0.08662808686494827,
-0.03736179694533348,
0.03060065396130085,
0.01660524308681488,
0.025289418175816536,
-0.008325514383614063,
0.12337939441204071,
0.029425466433167458,
-0.042337264865636826,
-0.007302949205040932,
-0.017627807334065437,
0.007768445182591677,
0.04664119705557823,
0.07038913667201996,
-0.03739231824874878,
0.013362031430006027,
0.008088950999081135,
0.013186516240239143,
-0.10530897974967957,
0.010370645672082901,
0.029211796820163727,
0.00680692819878459,
-0.029211796820163727,
-0.03345467895269394,
-0.05149456486105919,
-0.04523707553744316,
0.03537771478295326,
-0.017230991274118423,
-0.005059409886598587,
0.08143894374370575,
0.0054600415751338005,
-0.0056775277480483055,
0.025533612817525864,
-0.018848782405257225,
-0.043710857629776,
0.030249623581767082,
0.019184550270438194,
-0.012476825155317783,
0.004933496937155724,
0.0213059913367033,
0.06153707578778267,
-0.002653710078448057,
-0.03647658973932266,
-0.014109876938164234,
-0.006433004979044199,
-0.005181507207453251,
0.01944400556385517,
0.0004170865286141634,
-0.037850186228752136,
-0.004513787105679512,
-0.038247000426054,
-0.055676400661468506,
-0.057538386434316635,
0.03150112181901932,
-0.005959877744317055,
-0.02971544675529003,
0.013781740330159664,
-0.008775748312473297,
-0.03669026121497154,
-0.027822937816381454,
-0.0074326773174107075,
0.008928370662033558,
-0.049174714833498,
0.05701947212219238,
-0.06544419378042221,
-0.045939136296510696,
-0.02612883783876896,
-0.04429082199931145,
0.011141384951770306,
0.039071157574653625,
0.0470074862241745,
-0.007192298304289579,
0.036995504051446915,
-0.021016009151935577,
-0.033179961144924164,
0.02011554129421711,
0.01508665643632412,
-0.051952432841062546,
-0.05115879699587822,
0.038949061185121536,
-0.08497977256774902,
0.011675560846924782,
-0.014033566229045391,
-0.005536352749913931,
0.016879960894584656,
0.008653650991618633,
0.010202761739492416,
-0.012469193898141384,
-0.01771938055753708,
0.011377948336303234,
0.004307747818529606,
-0.015720035880804062,
0.02799082174897194,
-0.04340561479330063,
-0.06648201495409012,
0.05036516487598419,
-0.027181927114725113,
-0.018650373443961143,
0.094014972448349,
0.019718725234270096,
-0.00028163474053144455,
-0.04429082199931145,
-0.011576357297599316,
-0.05189138278365135,
-0.06465055793523788,
-0.0007502310909330845,
-0.029868070036172867,
0.04395505413413048,
-0.052410297095775604,
0.022221721708774567,
-0.00994330458343029,
-0.021473875269293785,
-0.031653743237257004,
0.011927386745810509,
0.013590963557362556,
0.04291722550988197,
0.01900140382349491,
-0.014865354634821415,
0.05060936138033867,
0.015582676976919174,
-0.030249623581767082,
-0.008058426901698112,
-0.02370215207338333,
0.0004397412994876504,
0.016467882320284843,
0.008653650991618633,
-0.007524250540882349,
0.011408473365008831,
-0.023747937753796577,
-0.01979503594338894,
-0.10262283682823181,
0.03311891108751297,
0.0010053955484181643,
-0.044840257614851,
-0.0072342692874372005,
0.01782621629536152,
0.048899997025728226,
0.02767031639814377,
0.03336310759186745,
0.006425374187529087,
0.01070641353726387,
0.043100371956825256,
-0.011545832268893719,
-0.05012097209692001,
-0.03833857551217079,
0.02796029858291149,
0.04023108258843422,
0.0028521183412522078,
0.07270898669958115,
0.005543983541429043,
0.03882696479558945,
-0.013598594814538956,
-0.05543220788240433,
0.011232958175241947,
-0.029379678890109062,
-0.028876028954982758,
-0.025747282430529594,
-0.015208753757178783,
-0.01747518591582775,
-0.02295430563390255,
-0.03060065396130085,
-0.027365073561668396,
0.035255614668130875,
0.02731928601861,
-0.027716103941202164,
0.019932394847273827,
0.034156739711761475,
-0.01890983060002327,
0.011423734948039055,
-0.0077608139254152775,
0.01617790199816227,
-0.013270458206534386,
-0.0002085432643070817,
-0.061048686504364014,
0.021031271666288376,
-0.02086338773369789,
0.025625186040997505,
0.07600561529397964,
0.03794175758957863,
-0.024449998512864113,
0.04899156838655472,
0.02612883783876896,
-0.021031271666288376,
-0.01032485906034708,
-0.00037869263906031847,
-0.04252040758728981,
-0.018070410937070847,
0.09761685132980347,
-0.04731273278594017,
0.030966944992542267,
-0.006520762573927641,
0.04801478981971741,
-0.023915821686387062,
-0.011721347458660603,
0.057874154299497604,
-0.010965869762003422,
-0.053387075662612915,
-0.00782186258584261,
0.02086338773369789,
-0.01683417521417141,
-0.010057770647108555,
0.04010898619890213,
0.022694848477840424,
-0.057874154299497604,
-0.016574718058109283,
0.013545176945626736,
0.017307301983237267,
-0.005936984438449144,
0.004883894696831703,
0.03214213252067566,
-0.03672078251838684,
0.03028014861047268,
0.00039300089702010155,
0.007776076439768076,
-0.009989091195166111,
-0.013590963557362556,
-0.047587450593709946,
0.004662593360990286,
0.006574180442839861,
0.01965767703950405,
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]
],
"chunks": [
"Caption: Secluded Tiki Bar on a serene lake, perfect for a refreshing drink and a relaxing getaway"
],
"_usage": {
"input_tokens": 32,
"output_tokens": 1226,
"inference_time_tokens": 1007,
"total_tokens": 2265
}
}
```
# Embedding v2
Source: https://jigsawstack.com/docs/api-reference/ai/embedding-v2
POST https://api.jigsawstack.com/v2/embedding
v2 Generate vector embeddings from various content types including text, images, audio, and PDF files with speaker fingerprint support.
## Request Parameters
### Body
The text content to generate embeddings for. Optional if providing content through another method.
The image url.
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack's [Handling Files](/docs/api-reference/handling-files) section.
The type of content being processed. Must be one of the following values:
* `text`: Plain text input
* `text-other`: Other text format
* `image`: Image content
* `audio`: Audio content
* `pdf`: PDF document
The dimensionality of the output embedding vectors. Higher dimensions can capture more nuanced semantic information but require more storage.
* Minimum: `32`
* Maximum: `4096`
* Default: `4096`
Custom instruction for query embedding generation to improve retrieval quality. Works with type `text` only. Maximum 400 characters.
* Use this to provide domain-specific context or retrieval objectives
* Default: `Given a query, retrieve relevant passages that answer the query`
Generate embedding for text in query mode by setting `query` to true.
* If `query` is `true`, you may pass your custom `instruction` along with `text` to be embedded as a query string.
Determines behavior when input exceeds token limits:
* `error`: Return an error (default)
* `truncate`: Truncate the input to fit within token limits
Whether to include speaker's audio embedding. Speaker fingerprint is only available for audio content type.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The vector embedding representation of the input content. This is an array of arrays of floating-point numbers.
Array of text chunks with timestamps. Only available for text and audio content types.
The text content of this chunk.
Array containing start and end time positions for this chunk.
The speaker's audio embedding. Only available for audio content type and when `speaker_fingerprint` is true. This is an array of arrays of floating-point numbers.
```javascript Javascript theme={null} theme={null} theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.embedding_v2({
"url": "https://jigsawstack.com/preview/stt-example.wav",
"type": "audio",
"speaker_fingerprint": true
})
```
```python Python theme={null} theme={null} theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.embedding_v2({
"url": "https://jigsawstack.com/preview/stt-example.wav",
"type": "audio",
"speaker_fingerprint": True
})
```
```bash Curl theme={null} theme={null} theme={null}
curl https://api.jigsawstack.com/v2/embedding \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"url":"https://jigsawstack.com/preview/stt-example.wav","type":"audio","speaker_fingerprint":true}'
```
```php PHP theme={null} theme={null} theme={null}
'https://jigsawstack.com/preview/stt-example.wav',
'type' => 'audio',
'speaker_fingerprint' => true
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null} theme={null} theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"url":"https://jigsawstack.com/preview/stt-example.wav","type":"audio","speaker_fingerprint":true}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v2/embedding", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null} theme={null} theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v2/embedding"))
.POST(BodyPublishers.ofString("{\"url\":\"https://jigsawstack.com/preview/stt-example.wav\",\"type\":\"audio\",\"speaker_fingerprint\":true}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null} theme={null} theme={null}
import Foundation
let jsonData = [
"url": "https://jigsawstack.com/preview/stt-example.wav",
"type": "audio",
"speaker_fingerprint": true
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v2/embedding")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null} theme={null} theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"url":"https://jigsawstack.com/preview/stt-example.wav","type":"audio","speaker_fingerprint":true}';
final url = Uri.parse('https://api.jigsawstack.com/v2/embedding');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null} theme={null} theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"url\":\"https://jigsawstack.com/preview/stt-example.wav\",\"type\":\"audio\",\"speaker_fingerprint\":true}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v2/embedding")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null} theme={null} theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v2/embedding");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
url = "https://jigsawstack.com/preview/stt-example.wav",
type = "audio",
speaker_fingerprint = true
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null} theme={null} theme={null}
{
"success": true,
"embeddings": [
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],
"chunks": [
{
"timestamp": [
1.8,
51.74
],
"text": "the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit for a queen's table a big wet stain was on the round carpet the kite dipped and swayed but stayed aloft the pleasant hours fly by much too soon the room was crowded with a mild wab the room was crowded with a wild mob this strong arm shall shield your honour she blushed when he gave her a white orchid The beetle droned in the hot June sun."
}
],
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0.025429876521229744,
-0.013180452398955822,
-0.013965535908937454,
0.012827594764530659,
-0.006581010762602091,
0.0157336238771677,
0.013601236045360565,
-0.004452182445675135,
-0.04288026690483093,
-0.01158969011157751,
-0.02589794620871544,
0.02422727458178997,
-0.01643003709614277,
-0.024031778797507286,
-0.004919575527310371,
0.005801009014248848,
-0.021259723231196404,
-0.009414768777787685,
0.0001650880294619128,
-0.0031840866431593895,
0.01146391499787569,
0.0139920087531209,
0.01157289370894432,
-0.024910110980272293,
-0.004549277946352959,
0.014538809657096863,
0.010476063005626202,
0.00485609844326973,
-0.007023687474429607,
-0.01977858506143093,
0.0020322659984230995,
-0.01435187365859747,
0.014135384000837803,
0.00814382266253233,
-0.006731829605996609,
0.0013448672834783792,
-0.039993997663259506,
0.002432670909911394,
-0.002136005088686943,
0.014016124419867992,
0.01079589407891035,
-0.019524378702044487,
0.027823559939861298,
-0.00285022659227252,
0.005164037924259901,
-0.019205057993531227,
0.019031235948204994,
0.014816438779234886,
-0.03436988964676857,
0.014645429328083992,
0.006457649637013674,
0.00946182943880558,
-0.009142839349806309,
-0.0048733861185610294,
-0.007971488870680332,
0.01049945317208767,
0.008357476443052292,
-0.005349841434508562,
0.016575094312429428,
-0.006165812723338604,
0.010466241277754307,
0.009683522395789623,
0.013733197003602982,
-0.009175917133688927,
0.008376344107091427,
0.01607355661690235,
-0.014794294722378254,
-0.015473337844014168,
-0.00011998497211607173,
0.018966415897011757,
0.004252877086400986,
0.02274319715797901,
-0.02558892033994198,
-0.011987078003585339,
0.013366608880460262,
0.007311423774808645,
-0.0033052032813429832,
0.02254546992480755,
0.0025218657683581114,
0.0039901104755699635,
-0.00024611459230072796,
-0.02772022783756256,
-0.0011843545362353325,
-0.013154469430446625,
-0.0012613662984222174,
-0.004628249444067478,
0.03935205563902855,
0.0011488056043162942,
0.015714174136519432,
0.008310135453939438,
0.00877186469733715,
0.01240834966301918,
-0.016331281512975693,
-0.009885231032967567,
-0.006282176822423935,
0.030090318992733955
]
],
"_usage": {
"input_tokens": 26,
"output_tokens": 13239,
"inference_time_tokens": 3253,
"total_tokens": 16518
}
}
```
# Image Generation
Source: https://jigsawstack.com/docs/api-reference/ai/image-generation
POST https://api.jigsawstack.com/v1/ai/image_generation
Generate an image based on the given text by employing AI models like Flux, Stable Diffusion, and other top models.
## Request Parameters
### Body
The text prompt to generate the image from. Must be between 1-5000 characters.
The aspect ratio of the generated image.
The width of the image. Must be between 256-1920 pixels.
The height of the image. Must be between 256-1920 pixels.
The number of denoising steps. Must be between 1-90. Higher values produce better quality images but take more time to generate.
The output format of the generated image. Must be one of the following values:
* `png`
* `svg`
The image url.
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack's [Handling Files](/docs/api-reference/handling-files) section.
Passing in files is used for image edits
Text describing what you don't want in the image.
Higher guidance forces the model to better follow the prompt, but may result in lower quality output. Must be between 1-28.
Makes generation deterministic. Using the same seed and set of parameters will produce identical image each time.
The specified return type for the response
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.image_generation({
"prompt": "A beautiful sunset over a calm ocean",
"return_type": "url"
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.image_generation({
"prompt": "A beautiful sunset over a calm ocean",
"return_type": "url"
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/image_generation \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"prompt":"A beautiful sunset over a calm ocean","return_type":"url"}'
```
```php PHP theme={null}
'A beautiful sunset over a calm ocean',
'return_type' => 'url'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"prompt":"A beautiful sunset over a calm ocean","return_type":"url"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/image_generation", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/image_generation"))
.POST(BodyPublishers.ofString("{\"prompt\":\"A beautiful sunset over a calm ocean\",\"return_type\":\"url\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"prompt": "A beautiful sunset over a calm ocean",
"return_type": "url"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/ai/image_generation")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"prompt":"A beautiful sunset over a calm ocean","return_type":"url"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/image_generation');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"prompt\":\"A beautiful sunset over a calm ocean\",\"return_type\":\"url\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/image_generation")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/image_generation");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
prompt = "A beautiful sunset over a calm ocean",
return_type = "url"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"url": "https://jigsawstack-temp.b1e91a466694ad4af04df5d05ca12d93.r2.cloudflarestorage.com/temp/f78349bc-0d35-4461-9a71-496527fcd49f.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=7b9a19349842b7b1a9e4c2e19f05b232%2F20250916%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20250916T185133Z&X-Amz-Expires=604800&X-Amz-Signature=c995f70db449843f4042bdac278acbbd349a64635e777afb78d7b41a01f7c5f0&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject",
"_usage": {
"input_tokens": 18,
"output_tokens": 77,
"inference_time_tokens": 2030,
"total_tokens": 2125
}
}
```
# Object Detection
Source: https://jigsawstack.com/docs/api-reference/ai/object-detection
POST https://api.jigsawstack.com/v1/object_detection
Recognise objects within an image with great accuracy.
### Body
The image url.
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack's [Handling Files](/docs/api-reference/handling-files) section.
Array of prompts for targeted object detection. Each prompt must be between 1-150 characters. Optional and nullable.
Array of features to enable. Available options: `object_detection`, `gui`. Must contain at least one feature.
Whether to return an annotated image with detected objects highlighted.
Format for returning images. Available options: `url`, `base64`.
Binary segmentation masks for detected objects.
Either `file_store_key` or `url` can be provided not both.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The annotated image with detected objects highlighted. Only included if `annotated_image=true` and objects/gui\_elements exist. Format depends on `return_type` parameter (URL or base64).
Array of detected GUI elements. Only included if `features` includes "gui".
Bounding box coordinates.
Top-left corner coordinates.
X-coordinate.
Y-coordinate.
Top-right corner coordinates (same structure as top\_left).
Bottom-left corner coordinates (same structure as top\_left).
Bottom-right corner coordinates (same structure as top\_left).
Width of the bounding box.
Height of the bounding box.
Content of the GUI element. Can be null if no content is detected.
Array of detected objects. Only included if `features` includes "object\_detection".
Bounding box coordinates for the detected object (same structure as GUI element bounds).
Label describing the detected object.
Object mask image. Format depends on `return_type` parameter (URL or base64). Only present for some objects.
Array of automatically generated tags describing the detected objects and content.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.vision.object_detection({
"url": "https://jigsawstack.com/preview/object-detection-example-input.jpg",
"features": [
"object_detection"
],
"annotated_image": true,
"return_type": "url"
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.vision.object_detection({
"url": "https://jigsawstack.com/preview/object-detection-example-input.jpg",
"features": [
"object_detection"
],
"annotated_image": True,
"return_type": "url"
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/object_detection \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"url":"https://jigsawstack.com/preview/object-detection-example-input.jpg","features":["object_detection"],"annotated_image":true,"return_type":"url"}'
```
```php PHP theme={null}
'https://jigsawstack.com/preview/object-detection-example-input.jpg',
'features' => [
'object_detection'
],
'annotated_image' => true,
'return_type' => 'url'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"url":"https://jigsawstack.com/preview/object-detection-example-input.jpg","features":["object_detection"],"annotated_image":true,"return_type":"url"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/object_detection", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/object_detection"))
.POST(BodyPublishers.ofString("{\"url\":\"https://jigsawstack.com/preview/object-detection-example-input.jpg\",\"features\":[\"object_detection\"],\"annotated_image\":true,\"return_type\":\"url\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"url": "https://jigsawstack.com/preview/object-detection-example-input.jpg",
"features": [
"object_detection"
],
"annotated_image": true,
"return_type": "url"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/object_detection")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"url":"https://jigsawstack.com/preview/object-detection-example-input.jpg","features":["object_detection"],"annotated_image":true,"return_type":"url"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/object_detection');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"url\":\"https://jigsawstack.com/preview/object-detection-example-input.jpg\",\"features\":[\"object_detection\"],\"annotated_image\":true,\"return_type\":\"url\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/object_detection")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/object_detection");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
url = "https://jigsawstack.com/preview/object-detection-example-input.jpg",
features = new List { "object_detection" },
annotated_image = true,
return_type = "url"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"annotated_image": "https://jigsawstack-temp.b1e91a466694ad4af04df5d05ca12d93.r2.cloudflarestorage.com/temp/2633695d-7541-40bb-9f07-a77c992bd568.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=7b9a19349842b7b1a9e4c2e19f05b232%2F20250916%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20250916T185227Z&X-Amz-Expires=604800&X-Amz-Signature=f2781a31a47e6c6154f07b99204ab4995da3dd0435f7b542567c8ba39adc60e5&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject",
"objects": [
{
"bounds": {
"top_left": {
"x": 132,
"y": 54
},
"top_right": {
"x": 1389,
"y": 54
},
"bottom_left": {
"x": 132,
"y": 802
},
"bottom_right": {
"x": 1389,
"y": 802
},
"width": 1257,
"height": 748
},
"label": "TV"
},
{
"bounds": {
"top_left": {
"x": 435,
"y": 674
},
"top_right": {
"x": 694,
"y": 674
},
"bottom_left": {
"x": 435,
"y": 1021
},
"bottom_right": {
"x": 694,
"y": 1021
},
"width": 259,
"height": 347
},
"label": "Hands_0"
},
{
"bounds": {
"top_left": {
"x": 0,
"y": 627
},
"top_right": {
"x": 390,
"y": 627
},
"bottom_left": {
"x": 0,
"y": 994
},
"bottom_right": {
"x": 390,
"y": 994
},
"width": 390,
"height": 367
},
"label": "Hands_1"
},
{
"bounds": {
"top_left": {
"x": 108,
"y": 667
},
"top_right": {
"x": 592,
"y": 667
},
"bottom_left": {
"x": 108,
"y": 919
},
"bottom_right": {
"x": 592,
"y": 919
},
"width": 484,
"height": 252
},
"label": "Controller"
},
{
"bounds": {
"top_left": {
"x": 109,
"y": 669
},
"top_right": {
"x": 599,
"y": 669
},
"bottom_left": {
"x": 109,
"y": 921
},
"bottom_right": {
"x": 599,
"y": 921
},
"width": 490,
"height": 252
},
"label": "Wii"
},
{
"bounds": {
"top_left": {
"x": 0,
"y": 781
},
"top_right": {
"x": 1440,
"y": 781
},
"bottom_left": {
"x": 0,
"y": 839
},
"bottom_right": {
"x": 1440,
"y": 839
},
"width": 1440,
"height": 58
},
"label": "Wires_0"
},
{
"bounds": {
"top_left": {
"x": 0,
"y": 880
},
"top_right": {
"x": 1440,
"y": 880
},
"bottom_left": {
"x": 0,
"y": 1033
},
"bottom_right": {
"x": 1440,
"y": 1033
},
"width": 1440,
"height": 153
},
"label": "Wires_1"
},
{
"bounds": {
"top_left": {
"x": 0,
"y": 93
},
"top_right": {
"x": 1440,
"y": 93
},
"bottom_left": {
"x": 0,
"y": 777
},
"bottom_right": {
"x": 1440,
"y": 777
},
"width": 1440,
"height": 684
},
"label": "Minecraft"
},
{
"bounds": {
"top_left": {
"x": 0,
"y": 134
},
"top_right": {
"x": 1440,
"y": 134
},
"bottom_left": {
"x": 0,
"y": 708
},
"bottom_right": {
"x": 1440,
"y": 708
},
"width": 1440,
"height": 574
},
"label": "Castle"
},
{
"bounds": {
"top_left": {
"x": 1155,
"y": 390
},
"top_right": {
"x": 1302,
"y": 390
},
"bottom_left": {
"x": 1155,
"y": 482
},
"bottom_right": {
"x": 1302,
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},
"width": 147,
"height": 92
},
"label": "Trees"
},
{
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},
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},
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},
"bottom_right": {
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},
"width": 99,
"height": 48
},
"label": "Water"
},
{
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},
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"x": 1161,
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},
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},
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},
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},
"label": "Grass_0"
},
{
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},
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},
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},
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},
"width": 99,
"height": 34
},
"label": "Grass_1"
},
{
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},
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},
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},
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"height": 30
},
"label": "Grass_2"
},
{
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},
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},
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},
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"height": 35
},
"label": "Grass_3"
},
{
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},
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},
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},
"label": "Grass_4"
},
{
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},
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"height": 25
},
"label": "Grass_5"
},
{
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},
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"height": 25
},
"label": "Grass_6"
},
{
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},
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},
"label": "Grass_7"
},
{
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},
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},
"bottom_right": {
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},
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"height": 25
},
"label": "Grass_8"
},
{
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},
"top_right": {
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},
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},
"bottom_right": {
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},
"width": 45,
"height": 25
},
"label": "Grass_9"
},
{
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},
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},
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},
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},
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"height": 25
},
"label": "Grass_10"
},
{
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},
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},
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},
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},
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"height": 25
},
"label": "Grass_11"
},
{
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},
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},
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},
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},
"width": 45,
"height": 26
},
"label": "Grass_12"
},
{
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},
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},
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},
"bottom_right": {
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},
"width": 45,
"height": 26
},
"label": "Grass_13"
},
{
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},
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},
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},
"bottom_right": {
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},
"width": 44,
"height": 26
},
"label": "Grass_14"
},
{
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},
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},
"bottom_left": {
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},
"bottom_right": {
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},
"width": 44,
"height": 26
},
"label": "Grass_15"
},
{
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},
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},
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},
"bottom_right": {
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},
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"height": 25
},
"label": "Grass_16"
},
{
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},
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},
"bottom_right": {
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},
"width": 44,
"height": 25
},
"label": "Grass_17"
},
{
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},
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},
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},
"bottom_right": {
"x": 1089,
"y": 605
},
"width": 44,
"height": 25
},
"label": "Grass_18"
},
{
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},
"top_right": {
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},
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"y": 605
},
"bottom_right": {
"x": 1089,
"y": 605
},
"width": 44,
"height": 25
},
"label": "Grass_19"
},
{
"bounds": {
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"x": 1045,
"y": 580
},
"top_right": {
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"y": 580
},
"bottom_left": {
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"y": 605
},
"bottom_right": {
"x": 1089,
"y": 605
},
"width": 44,
"height": 25
},
"label": "Grass_20"
},
{
"bounds": {
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"y": 580
},
"top_right": {
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"y": 580
},
"bottom_left": {
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"y": 605
},
"bottom_right": {
"x": 1089,
"y": 605
},
"width": 44,
"height": 25
},
"label": "Grass_21"
},
{
"bounds": {
"top_left": {
"x": 1045,
"y": 580
},
"top_right": {
"x": 1089,
"y": 580
},
"bottom_left": {
"x": 1045,
"y": 605
},
"bottom_right": {
"x": 1089,
"y": 605
},
"width": 44,
"height": 25
},
"label": "Grass_22"
},
{
"bounds": {
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"y": 580
},
"top_right": {
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"y": 580
},
"bottom_left": {
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"y": 605
},
"bottom_right": {
"x": 1095,
"y": 605
},
"width": 45,
"height": 25
},
"label": "Grass_23"
},
{
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},
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},
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},
"bottom_right": {
"x": 1109,
"y": 609
},
"width": 45,
"height": 25
},
"label": "Grass_24"
},
{
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},
"top_right": {
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"y": 585
},
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"y": 610
},
"bottom_right": {
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"y": 610
},
"width": 45,
"height": 25
},
"label": "Grass_25"
},
{
"bounds": {
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},
"top_right": {
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"y": 585
},
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"y": 610
},
"bottom_right": {
"x": 1109,
"y": 610
},
"width": 45,
"height": 25
},
"label": "Grass_26"
},
{
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},
"top_right": {
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},
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},
"bottom_right": {
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"y": 610
},
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"height": 25
},
"label": "Grass_27"
},
{
"bounds": {
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},
"top_right": {
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"y": 585
},
"bottom_left": {
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"y": 610
},
"bottom_right": {
"x": 1109,
"y": 610
},
"width": 45,
"height": 25
},
"label": "Grass_28"
},
{
"bounds": {
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},
"top_right": {
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},
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"y": 610
},
"bottom_right": {
"x": 1109,
"y": 610
},
"width": 45,
"height": 25
},
"label": "Grass_29"
},
{
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},
"top_right": {
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"y": 585
},
"bottom_left": {
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"y": 610
},
"bottom_right": {
"x": 1110,
"y": 610
},
"width": 44,
"height": 25
},
"label": "Grass_30"
},
{
"bounds": {
"top_left": {
"x": 1066,
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},
"top_right": {
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},
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"y": 610
},
"bottom_right": {
"x": 1110,
"y": 610
},
"width": 44,
"height": 25
},
"label": "Grass_31"
},
{
"bounds": {
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},
"top_right": {
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},
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},
"bottom_right": {
"x": 1110,
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},
"width": 44,
"height": 25
},
"label": "Grass_32"
},
{
"bounds": {
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},
"top_right": {
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},
"bottom_left": {
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},
"bottom_right": {
"x": 1110,
"y": 610
},
"width": 44,
"height": 25
},
"label": "Grass_33"
},
{
"bounds": {
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},
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},
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},
"bottom_right": {
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},
"width": 44,
"height": 25
},
"label": "Grass_34"
},
{
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},
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},
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},
"bottom_right": {
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},
"width": 44,
"height": 25
},
"label": "Grass_35"
},
{
"bounds": {
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"x": 1066,
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},
"top_right": {
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},
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},
"bottom_right": {
"x": 1110,
"y": 611
},
"width": 44,
"height": 25
},
"label": "Grass_36"
},
{
"bounds": {
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},
"top_right": {
"x": 1110,
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},
"bottom_left": {
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},
"bottom_right": {
"x": 1110,
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},
"width": 44,
"height": 25
},
"label": "Grass_37"
},
{
"bounds": {
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},
"top_right": {
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},
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},
"bottom_right": {
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"y": 619
},
"width": 44,
"height": 24
},
"label": "Grass_38"
},
{
"bounds": {
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"x": 1066,
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},
"top_right": {
"x": 1110,
"y": 594
},
"bottom_left": {
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"y": 619
},
"bottom_right": {
"x": 1110,
"y": 619
},
"width": 44,
"height": 25
},
"label": "Grass_39"
},
{
"bounds": {
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},
"top_right": {
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},
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},
"bottom_right": {
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},
"width": 44,
"height": 24
},
"label": "Grass_40"
},
{
"bounds": {
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},
"top_right": {
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},
"bottom_left": {
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},
"bottom_right": {
"x": 1110,
"y": 619
},
"width": 44,
"height": 24
},
"label": "Grass_41"
},
{
"bounds": {
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},
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},
"bottom_left": {
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},
"bottom_right": {
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"y": 619
},
"width": 44,
"height": 24
},
"label": "Grass_42"
},
{
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},
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},
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},
"bottom_right": {
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},
"width": 44,
"height": 24
},
"label": "Grass_43"
},
{
"bounds": {
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},
"top_right": {
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},
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},
"bottom_right": {
"x": 1110,
"y": 619
},
"width": 44,
"height": 24
},
"label": "Grass_44"
},
{
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},
"top_right": {
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"y": 595
},
"bottom_left": {
"x": 1069,
"y": 619
},
"bottom_right": {
"x": 1107,
"y": 619
},
"width": 38,
"height": 24
},
"label": "Grass_45"
},
{
"bounds": {
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},
"top_right": {
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},
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},
"bottom_right": {
"x": 1107,
"y": 619
},
"width": 38,
"height": 24
},
"label": "Grass_46"
},
{
"bounds": {
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"x": 1069,
"y": 595
},
"top_right": {
"x": 1107,
"y": 595
},
"bottom_left": {
"x": 1069,
"y": 619
},
"bottom_right": {
"x": 1107,
"y": 619
},
"width": 38,
"height": 24
},
"label": "Grass_47"
},
{
"bounds": {
"top_left": {
"x": 1069,
"y": 595
},
"top_right": {
"x": 1107,
"y": 595
},
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"x": 1069,
"y": 619
},
"bottom_right": {
"x": 1107,
"y": 619
},
"width": 38,
"height": 24
},
"label": "Grass_48"
},
{
"bounds": {
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"x": 1069,
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},
"top_right": {
"x": 1107,
"y": 595
},
"bottom_left": {
"x": 1069,
"y": 619
},
"bottom_right": {
"x": 1107,
"y": 619
},
"width": 38,
"height": 24
},
"label": "Grass_49"
},
{
"bounds": {
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},
"top_right": {
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"y": 126
},
"bottom_left": {
"x": 187,
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},
"bottom_right": {
"x": 228,
"y": 197
},
"width": 41,
"height": 71
},
"label": "Character"
}
],
"tags": [
"TV",
"Hands",
"Controller",
"Table",
"Console",
"Wii",
"Wires",
"Wall",
"Minecraft",
"Sky",
"Castle",
"Trees",
"Water",
"Grass",
"Character"
],
"_usage": {
"input_tokens": 39,
"output_tokens": 2990,
"inference_time_tokens": 57445,
"total_tokens": 60474
}
}
```
# Prediction
Source: https://jigsawstack.com/docs/api-reference/ai/prediction
POST https://api.jigsawstack.com/v1/ai/prediction
Forecast a wide range of time series data in seconds with one simple API and no data training.
## Request Parameters
### Body
The dataset to make predictions on. This is an array of objects with keys
`date` and `value`. See example below for more information.
The `date` parameter must be in `YYYY-MM-DD` format (e.g., "2023-01-01").
* Minimum: 5 data points
* Maximum: 1000 data points
Note: The larger the dataset provided, the more accurate the predictions become.
For best results, provide at least 20-30 data points with consistent intervals.
The numeric value for the data point.
The date for the data point in `YYYY-MM-DD` format (e.g., "2023-01-01").
The number of predictions to make. - Minimum: 1 - Maximum: 500
### Sample Dataset
> A dataset must be an array of object containing keys `date` and `value`.
```javascript theme={null}
type Dataset = {
date: string,
value: number | string,
};
const dataset: Array = [
{ date: "2023-01-01", value: 353459 },
{ date: "2023-01-02", value: 313734 },
{ date: "2023-01-03", value: 333774 },
{ date: "2023-01-04", value: 348636 },
{ date: "2023-01-05", value: 278903 },
];
```
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
Array of predicted data points with the same structure as the input dataset.
The date for the predicted data point in `YYYY-MM-DD` format.
The predicted numeric value for this data point.
The number of prediction steps.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.prediction({
"dataset": [
{
"date": "2023-01-01",
"value": 353459
},
{
"date": "2023-01-02",
"value": 313734
},
{
"date": "2023-01-03",
"value": 333774
},
{
"date": "2023-01-04",
"value": 348636
},
{
"date": "2023-01-05",
"value": 278903
}
],
"steps": 3
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.prediction({
"dataset": [
{
"date": "2023-01-01",
"value": 353459
},
{
"date": "2023-01-02",
"value": 313734
},
{
"date": "2023-01-03",
"value": 333774
},
{
"date": "2023-01-04",
"value": 348636
},
{
"date": "2023-01-05",
"value": 278903
}
],
"steps": 3
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/prediction \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}'
```
```php PHP theme={null}
[
{
'date' => '2023-01-01',
'value' => 353459
},
{
'date' => '2023-01-02',
'value' => 313734
},
{
'date' => '2023-01-03',
'value' => 333774
},
{
'date' => '2023-01-04',
'value' => 348636
},
{
'date' => '2023-01-05',
'value' => 278903
}
],
'steps' => 3
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/prediction", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/prediction"))
.POST(BodyPublishers.ofString("{\"dataset\":[{\"date\":\"2023-01-01\",\"value\":353459},{\"date\":\"2023-01-02\",\"value\":313734},{\"date\":\"2023-01-03\",\"value\":333774},{\"date\":\"2023-01-04\",\"value\":348636},{\"date\":\"2023-01-05\",\"value\":278903}],\"steps\":3}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"dataset": [
[
"date": "2023-01-01",
"value": 353459
],
[
"date": "2023-01-02",
"value": 313734
],
[
"date": "2023-01-03",
"value": 333774
],
[
"date": "2023-01-04",
"value": 348636
],
[
"date": "2023-01-05",
"value": 278903
]
],
"steps": 3
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/ai/prediction")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"dataset":[{"date":"2023-01-01","value":353459},{"date":"2023-01-02","value":313734},{"date":"2023-01-03","value":333774},{"date":"2023-01-04","value":348636},{"date":"2023-01-05","value":278903}],"steps":3}';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/prediction');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"dataset\":[{\"date\":\"2023-01-01\",\"value\":353459},{\"date\":\"2023-01-02\",\"value\":313734},{\"date\":\"2023-01-03\",\"value\":333774},{\"date\":\"2023-01-04\",\"value\":348636},{\"date\":\"2023-01-05\",\"value\":278903}],\"steps\":3}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/prediction")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/prediction");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
dataset = new List
```json Response theme={null}
{
"success": true,
"prediction": [
{
"date": "2023-01-08 00:00:00",
"value": 315214.5625
},
{
"date": "2023-01-07 00:00:00",
"value": 320094.71875
},
{
"date": "2023-01-06 00:00:00",
"value": 316329.9375
}
],
"steps": 3,
"_usage": {
"input_tokens": 53,
"output_tokens": 49,
"inference_time_tokens": 1992,
"total_tokens": 2094
}
}
```
# AI Scraper
Source: https://jigsawstack.com/docs/api-reference/ai/scrape
POST https://api.jigsawstack.com/v1/ai/scrape
Scrape any website instantly and get consistent structured data in seconds without writing any css selector code
## Request Parameters
### Body
URL of the page to scrape. Either `url` or `html` is required, but not both.
HTML content to scrape. Either `url` or `html` is required, but not both.
Items on the page to scrape (maximum 5). Can be an array of strings (e.g. `["Plan price", "Plan title"]`) or an object with key-value pairs (e.g. `{"price": "Plan price", "title": "Plan title"}`).
CSS elements on the page to scrape. E.g. "h2.title", "div.price"
CSS selector to limit the scope of scraping to a specific element and its children
For pagination, the current page number (minimum: 1)
Features to extract from the page. Available options:
Advanced configurations
Tracks console messages emitted when JavaScript within the page calls console API methods
Tracks network response information such as URL, method, status, headers, and body
Tracks cookie information
Custom HTTP headers to send with requests (key-value pairs)
Array of patterns to intercept and block requests (e.g., \["jpg", "png"])
Custom page-load behavior settings
Custom timeout in milliseconds (maximum: 120000, or 2 minutes)
Page load event to wait for:
Wait condition before scraping
Type of waiting condition:
The value corresponding to the selected mode:
Cookies to set for the page request
Only the following cookies are allowed: `ADSHUFFLER`, `AWSALB`, `AWSALBCORS`, `AWSALBTG`,
`AWSALBTGCORS`, `CF_CLEARANCE`, `CONSENT`, `CUSTOMER_CONTEXT`, `LANG`, `REF`, `REMOVAL`,
`VISITS`, `VISIT_COUNT`
Cookie value
Cookie domain (either `url` or `domain` is required)
The URL to associate with the cookie (either `url` or `domain` is required)
Whether the cookie is secure (HTTPS only)
Whether the cookie is HTTP-only
Whether the cookie is same-party
Cookie expiration timestamp
Cookie priority: "Low", "High", or "Medium"
Predefined screen size preset to use instead of specifying width and height manually. Supported values include:
Whether to emulate a mobile device viewport
Device scale factor (minimum: 1)
Viewport width in pixels
Viewport height in pixels
Whether to force proxy rotation for each request (incurs additional costs)
Bring-your-own-proxy configuration
Proxy server URL (e.g., "[https://username:password@proxy.example.com:8080](https://username:password@proxy.example.com:8080)")
Authentication credentials (optional if included in server URL)
Proxy username
Proxy password
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
Detailed scrape data from the page
The element prompt this data relates to
The CSS selector used to find this element
Array of matched elements with their details
The HTML content of the matched element
The text content of the matched element
Array of HTML attributes on the matched element
The attribute name
The attribute value
The current page position when paginating through results
The total number of pages available
A map of element prompt keys to arrays of extracted text content from matched elements
A map of element prompt keys to arrays of CSS selectors that were used to find matching elements
Links detected on the page
The URL of the link
The text description of the link
The type of link
* "a" for anchor links
* "img" for image links
Captured browser data if enabled in advance\_config
Console logs captured during scraping
Network requests captured during scraping
The URL of the network request
The HTTP method used
The HTTP status code
The request/response headers
The request/response body
The type of network event
* "request" for outgoing requests
* "response" for incoming responses
Cookies captured during scraping
Metadata about the page, such as title, description, keywords, and Open Graph image
The page title
The page description
The page keywords
The Open Graph image URL
```javascript Javascript theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.web.ai_scrape({
"url": "https://news.ycombinator.com/news",
"element_prompts": [
"titles",
"points"
]
})
```
```python Python theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.web.ai_scrape({
"url": "https://news.ycombinator.com/news",
"element_prompts": [
"titles",
"points"
]
})
```
```bash Curl theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
curl https://api.jigsawstack.com/v1/ai/scrape \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"url":"https://news.ycombinator.com/news","element_prompts":["titles","points"]}'
```
```php PHP theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
'https://news.ycombinator.com/news',
'element_prompts' => [
'titles',
'points'
]
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"url":"https://news.ycombinator.com/news","element_prompts":["titles","points"]}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/scrape", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/scrape"))
.POST(BodyPublishers.ofString("{\"url\":\"https://news.ycombinator.com/news\",\"element_prompts\":[\"titles\",\"points\"]}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
import Foundation
let jsonData = [
"url": "https://news.ycombinator.com/news",
"element_prompts": [
"titles",
"points"
]
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/ai/scrape")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"url":"https://news.ycombinator.com/news","element_prompts":["titles","points"]}';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/scrape');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"url\":\"https://news.ycombinator.com/news\",\"element_prompts\":[\"titles\",\"points\"]}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/scrape")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/scrape");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
url = "https://news.ycombinator.com/news",
element_prompts = new List { "titles", "points" }
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null} theme={null}
{
"success": true,
"page_position": 1,
"page_position_length": 1,
"context": {
"titles": [
"Waymo has received our pilot permit allowing for commercial operations at SFO (waymo.com)",
"Things you can do with a Software Defined Radio (2024) (blinry.org)",
"Adios Chicos, 25 Years of KDE (jriddell.org)",
"Live Updates: Shai-Hulud, the Most Dangerous NPM Breach in History (koi.security)",
"Plugin System (iina.io)",
"Launch HN: Rowboat (YC S24) – Open-source IDE for multi-agent systems (github.com/rowboatlabs)",
"A new experimental Google app for Windows (blog.google)",
"UTF-8 history (2003) (cat-v.org)",
"CIA Freedom of Information Act Electronic Reading Room (cia.gov)",
"Bertrand Russell to Oswald Mosley (1962) (lettersofnote.com)",
"I built my own phone because innovation is sad rn [video] (youtube.com)",
"Self Propagating NPM Malware (stepsecurity.io)",
"Show HN: AI Code Detector – detect AI-generated code with 95% accuracy (code-detector.ai)",
"How Container Filesystem Works: Building a Docker-Like Container from Scratch (iximiuz.com)",
"Implicit ODE Solvers Are Not Universally More Robust Than Explicit ODE Solvers (stochasticlifestyle.com)",
"Development of the MOS Technology 6502: A Historical Perspective (2022) (embeddedrelated.com)",
"Paper Folding Assembly Line [video] (youtube.com)",
"Scammed out of $130K via fake Google call, spoofed Google email and auth sync (bewildered.substack.com)",
"The Linux Process Journey [pdf] (thelearningjourneyebooks.com)",
"Generative AI as Seniority-Biased Technological Change (ssrn.com)",
"Writing an operating system kernel from scratch – RISC-V/OpenSBI/Zig (popovicu.com)",
"Microsoft Favors Anthropic over OpenAI for Visual Studio Code (theverge.com)",
"60 years after Gemini, newly processed images reveal details (arstechnica.com)",
"Will I run Boston 2026? (getfast.ai)",
"Teen safety, freedom, and privacy (openai.com)",
"Java 25 officially released (openjdk.org)",
"Migrating to React Native's new architecture (shopify.engineering)",
"Robert Redford has died (nytimes.com)",
"Scientists uncover extreme life inside the Arctic ice (stanford.edu)",
"\"Your\" vs. \"My\" in user interfaces (adamsilver.io)"
],
"points": [
"316 points",
"378 points",
"40 points",
"18 points",
"88 points",
"29 points",
"61 points",
"63 points",
"122 points",
"103 points",
"491 points",
"19 points",
"8 points",
"67 points",
"32 points",
"12 points",
"65 points",
"7 points",
"180 points",
"135 points",
"218 points",
"24 points",
"188 points",
"99 points",
"404 points",
"64 points",
"423 points",
"408 points",
"64 points",
"428 points"
]
},
"selectors": {
"titles": [
"tr.athing.submission td.title span.titleline a",
"tr.athing.submission td.title span.titleline",
"tr.athing.submission > td.title + td.title span.titleline > a",
"#bigbox table tr.athing.submission td.title span.titleline a",
"table#hnmain tr.athing.submission td.title span.titleline a"
],
"points": [
"tr + tr td.subtext span.score",
"tr td.subtext span.subline > span.score",
"tr.athing.submission + tr td.subtext span.score",
"table#hnmain td.subtext span.score",
"#bigbox td.subtext span.score"
]
},
"meta": {},
"link": [
{
"href": "https://news.ycombinator.com",
"text": "",
"type": "a"
},
{
"href": "https://news.ycombinator.com/news",
"text": "Hacker News",
"type": "a"
},
{
"href": "https://news.ycombinator.com/newest",
"text": "new",
"type": "a"
},
{
"href": "https://news.ycombinator.com/front",
"text": "past",
"type": "a"
},
{
"href": "https://news.ycombinator.com/newcomments",
"text": "comments",
"type": "a"
},
{
"href": "https://news.ycombinator.com/ask",
"text": "ask",
"type": "a"
},
{
"href": "https://news.ycombinator.com/show",
"text": "show",
"type": "a"
},
{
"href": "https://news.ycombinator.com/jobs",
"text": "jobs",
"type": "a"
},
{
"href": "https://news.ycombinator.com/submit",
"text": "submit",
"type": "a"
},
{
"href": "https://news.ycombinator.com/login?goto=news",
"text": "login",
"type": "a"
},
{
"href": "https://news.ycombinator.com/vote?id=45264562&how=up&goto=news",
"text": "",
"type": "a"
},
{
"href": "https://waymo.com/blog/#short-all-systems-go-at-sfo-waymo-has-received-our-pilot-permit",
"text": "Waymo has received our pilot permit allowing for commercial operations at SFO",
"type": "a"
},
{
"href": "https://news.ycombinator.com/from?site=waymo.com",
"text": "waymo.com",
"type": "a"
},
{
"href": "https://news.ycombinator.com/user?id=ChrisArchitect",
"text": "ChrisArchitect",
"type": "a"
},
{
"href": "https://news.ycombinator.com/item?id=45264562",
"text": "2 hours ago",
"type": "a"
},
{
"href": "https://news.ycombinator.com/hide?id=45264562&goto=news",
"text": "hide",
"type": "a"
},
{
"href": "https://news.ycombinator.com/item?id=45264562",
"text": "202 comments",
"type": "a"
},
{
"href": "https://news.ycombinator.com/vote?id=45262835&how=up&goto=news",
"text": "",
"type": "a"
},
{
"href": "https://blinry.org/50-things-with-sdr/",
"text": "Things you can do with a Software Defined Radio (2024)",
"type": "a"
},
{
"href": "https://news.ycombinator.com/from?site=blinry.org",
"text": "blinry.org",
"type": "a"
},
{
"href": "https://news.ycombinator.com/user?id=mihau",
"text": "mihau",
"type": "a"
},
{
"href": "https://news.ycombinator.com/item?id=45262835",
"text": "4 hours ago",
"type": "a"
},
{
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{
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{
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{
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{
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"text": "Implicit ODE Solvers Are Not Universally More Robust Than Explicit ODE Solvers",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"text": "youtube.com",
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{
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{
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{
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{
"href": "https://news.ycombinator.com/from?site=bewildered.substack.com",
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{
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"text": "116 comments",
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{
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{
"href": "https://news.ycombinator.com/from?site=ssrn.com",
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{
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{
"href": "https://news.ycombinator.com/from?site=arstechnica.com",
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{
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"value": "score_45264094"
}
]
},
{
"html": "61 points",
"text": "61 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261659"
}
]
},
{
"html": "188 points",
"text": "188 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261946"
}
]
},
{
"html": "99 points",
"text": "99 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45225217"
}
]
},
{
"html": "404 points",
"text": "404 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261159"
}
]
},
{
"html": "64 points",
"text": "64 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45228231"
}
]
},
{
"html": "423 points",
"text": "423 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45257627"
}
]
}
],
"key": "points"
},
{
"selector": "#bigbox td.subtext span.score",
"results": [
{
"html": "316 points",
"text": "316 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45264562"
}
]
},
{
"html": "378 points",
"text": "378 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45262835"
}
]
},
{
"html": "40 points",
"text": "40 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45265881"
}
]
},
{
"html": "18 points",
"text": "18 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45265937"
}
]
},
{
"html": "88 points",
"text": "88 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45264190"
}
]
},
{
"html": "29 points",
"text": "29 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45264867"
}
]
},
{
"html": "61 points",
"text": "61 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45263317"
}
]
},
{
"html": "63 points",
"text": "63 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45230515"
}
]
},
{
"html": "122 points",
"text": "122 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261764"
}
]
},
{
"html": "103 points",
"text": "103 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45264340"
}
]
},
{
"html": "18 points",
"text": "18 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45245050"
}
]
},
{
"html": "491 points",
"text": "491 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45260741"
}
]
},
{
"html": "19 points",
"text": "19 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45265831"
}
]
},
{
"html": "8 points",
"text": "8 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45232426"
}
]
},
{
"html": "67 points",
"text": "67 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45262151"
}
]
},
{
"html": "32 points",
"text": "32 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45263221"
}
]
},
{
"html": "12 points",
"text": "12 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45161219"
}
]
},
{
"html": "65 points",
"text": "65 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45264726"
}
]
},
{
"html": "7 points",
"text": "7 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45265610"
}
]
},
{
"html": "180 points",
"text": "180 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261930"
}
]
},
{
"html": "40 points",
"text": "40 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45236479"
}
]
},
{
"html": "135 points",
"text": "135 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45263063"
}
]
},
{
"html": "218 points",
"text": "218 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45231614"
}
]
},
{
"html": "24 points",
"text": "24 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45264094"
}
]
},
{
"html": "61 points",
"text": "61 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261659"
}
]
},
{
"html": "188 points",
"text": "188 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261946"
}
]
},
{
"html": "99 points",
"text": "99 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45225217"
}
]
},
{
"html": "404 points",
"text": "404 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45261159"
}
]
},
{
"html": "64 points",
"text": "64 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45228231"
}
]
},
{
"html": "423 points",
"text": "423 points",
"attributes": [
{
"name": "class",
"value": "score"
},
{
"name": "id",
"value": "score_45257627"
}
]
}
],
"key": "points"
}
],
"advance_config": {
"console": [],
"network": [],
"cookies": []
},
"_usage": {
"input_tokens": 21,
"output_tokens": 4892,
"inference_time_tokens": 6322,
"total_tokens": 11235
}
}
```
# Sentiment
Source: https://jigsawstack.com/docs/api-reference/ai/sentiment
POST https://api.jigsawstack.com/v1/ai/sentiment
Perform line by line sentiment analysis on any text with detailed emotion detection.
## Request Parameters
### Body
The text content to analyze for sentiment and emotion.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
Contains the sentiment analysis results.
The overall emotional tone of the text.
The overall sentiment classification, typically "positive", "negative", or
"neutral".
Numerical score representing the sentiment intensity, typically on a scale
from 0 to 1, where higher values indicate more positive sentiment.
Detailed sentiment analysis broken down by individual sentences.
The sentence text.
The emotional tone detected in this specific sentence.
The sentiment classification for this specific sentence.
Numerical sentiment score for this specific sentence.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.sentiment({
"text": "I love this product! It's amazing but the delivery was a bit late."
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.sentiment({
"text": "I love this product! It's amazing but the delivery was a bit late."
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/sentiment \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"text":"I love this product! It\'s amazing but the delivery was a bit late."}'
```
```php PHP theme={null}
response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let url = URL(string: "https://api.jigsawstack.com/v1/ai/sentiment")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = "{\"text\":\"I love this product! It\\s".data(using: .utf8)
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"text":"I love this product! It\\s';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/sentiment');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"text\":\"I love this product! It\\s"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/sentiment")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/sentiment");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
text = "I love this product! It's amazing but the delivery was a bit late."
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"sentiment": {
"emotion": "love",
"sentiment": "positive",
"score": 0.85,
"sentences": [
{
"text": "I love this product!",
"emotion": "love",
"sentiment": "positive",
"score": 0.9
},
{
"text": "It's amazing but the delivery was a bit late.",
"emotion": "satisfaction",
"sentiment": "positive",
"score": 0.8
}
]
},
"_usage": {
"input_tokens": 20,
"output_tokens": 75,
"inference_time_tokens": 2594,
"total_tokens": 2689
}
}
```
# Speech to Text
Source: https://jigsawstack.com/docs/api-reference/ai/speech-to-text
POST https://api.jigsawstack.com/v1/ai/transcribe
Transcribe video and audio files with ease leveraging Whisper large V3 AI model.
## Supported Formats and Limitations
* **Supported formats:** MP3, WAV, M4A, FLAC, AAC, OGG, WEBM
* **Maximum file size:** 100MB
* **Maximum audio duration:** 4 hours
## Request Parameters
### Body
The video/audio url. Not required if `file_store_key` is specified.
The key used to store the video/audio file on Jigsawstack File [Storage](/docs/api-reference/store/file/add). Not required if `url` is specified.
Either `url` or `file_store_key` should be provided, not both.
The language to transcribe or translate the file into. Use "auto" for automatic language detection, or specify a language code. If not specified, defaults to automatic detection. All supported language codes can be found [here](https://jigsawstack.com/docs/additional-resources/languages).
When set to true, translates the content into English (or the specified language if `language` parameter is provided). All supported language codes
can be found [here](https://jigsawstack.com/docs/additional-resources/languages).
Identifies and separates different speakers in the audio file. When enabled, the response will include a `speakers` array with speaker-segmented
transcripts.
Webhook URL to send result to. When provided, the API will process asynchronously and send results to this URL when completed.
The batch size to return. Maximum value is 40. This controls how the audio is chunked for processing.
The duration of each chunk in seconds. Maximum value is 15. This controls the duration of each chunk of audio that is processed.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The complete transcribed text from the audio/video file.
An array of transcript chunks with timestamps.
Array containing start and end time in seconds for the chunk.
The transcribed text for this time segment.
Only present when `by_speaker` is set to true. Contains speaker-segmented transcripts.
The speaker identifier (e.g., "Speaker 1").
Array containing start and end time in seconds for this segment.
The transcribed text spoken by this speaker.
The language detected in the audio/video file. Available if `language` parameter is not provided or set to "auto".
The confidence score for the language detected. Available if `language` parameter is not provided or set to "auto".
### Webhook Response
When using `webhook_url`, the initial response will be different.
Status of the transcription job.
A unique identifier for the transcription job.
The complete transcription result will later be sent to your webhook URL with the same structure as the direct response.
## Advanced Features
### Speaker Diarization
Speaker diarization is the process of separating an audio stream into segments according to the identity of each speaker. When you enable the `by_speaker` parameter, the API will:
1. Transcribe the audio as usual
2. Identify distinct speakers in the recording
3. Label each segment with a speaker identifier (e.g., "SPEAKER\_1", "SPEAKER\_2")
4. Return both the standard chunks and a separate `speakers` array with speaker-separated transcriptions
This is particularly useful for:
* Meeting transcriptions
* Interview transcriptions
* Podcast transcriptions
* Any multi-speaker audio content
### Webhook Usage
For long audio files, processing might take some time. Instead of keeping the connection open and waiting for the result, you can provide a `webhook_url` parameter. The API will:
1. Return immediately with a job ID
2. Process the audio asynchronously
3. Send the complete transcription results to your webhook URL when finished
Make sure your webhook endpoint is set up to:
* Accept POST requests
* Parse JSON content
* Handle the same response format as the standard API response
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.audio.speech_to_text({
"url": "https://jigsawstack.com/preview/stt-example.wav"
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.audio.speech_to_text({
"url": "https://jigsawstack.com/preview/stt-example.wav"
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/transcribe \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"url":"https://jigsawstack.com/preview/stt-example.wav"}'
```
```php PHP theme={null}
'https://jigsawstack.com/preview/stt-example.wav'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"url":"https://jigsawstack.com/preview/stt-example.wav"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/transcribe", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/transcribe"))
.POST(BodyPublishers.ofString("{\"url\":\"https://jigsawstack.com/preview/stt-example.wav\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"url": "https://jigsawstack.com/preview/stt-example.wav"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/ai/transcribe")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"url":"https://jigsawstack.com/preview/stt-example.wav"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/transcribe');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"url\":\"https://jigsawstack.com/preview/stt-example.wav\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/transcribe")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/transcribe");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
url = "https://jigsawstack.com/preview/stt-example.wav"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"text": " The little tales they tell are false The door was barred, locked and bolted as well Ripe pears are fit for a queen's table A big wet stain was on the round carpet The kite dipped and swayed but stayed aloft The pleasant hours fly by much too soon The room was crowded with a mild wob The room was crowded with a wild mob This strong arm shall shield your honour She blushed when he gave her a white orchid The beetle droned in the hot June sun",
"chunks": [
{
"timestamp": [
0,
2.39
],
"text": " The little tales"
},
{
"timestamp": [
2.39,
4.78
],
"text": "they tell are false"
},
{
"timestamp": [
4.78,
7.130000000000001
],
"text": " The door was barred,"
},
{
"timestamp": [
7.130000000000001,
9.48
],
"text": "locked and bolted as well"
},
{
"timestamp": [
9.48,
11.27
],
"text": " Ripe pears are fit"
},
{
"timestamp": [
11.27,
13.06
],
"text": "for a queen's table"
},
{
"timestamp": [
13.06,
15.149999999999999
],
"text": " A big wet stain"
},
{
"timestamp": [
15.149999999999999,
17.24
],
"text": "was on the round carpet"
},
{
"timestamp": [
17.24,
19.509999999999998
],
"text": " The kite dipped and"
},
{
"timestamp": [
19.509999999999998,
21.78
],
"text": "swayed but stayed aloft"
},
{
"timestamp": [
21.78,
24.04
],
"text": " The pleasant hours fly"
},
{
"timestamp": [
24.04,
26.3
],
"text": "by much too soon"
},
{
"timestamp": [
26.3,
28.53
],
"text": " The room was crowded"
},
{
"timestamp": [
28.53,
30.76
],
"text": "with a mild wob"
},
{
"timestamp": [
30.76,
32.92
],
"text": " The room was crowded"
},
{
"timestamp": [
32.92,
35.08
],
"text": "with a wild mob"
},
{
"timestamp": [
35.08,
37.16
],
"text": " This strong arm"
},
{
"timestamp": [
37.16,
39.24
],
"text": "shall shield your honour"
},
{
"timestamp": [
39.24,
41.59
],
"text": " She blushed when he"
},
{
"timestamp": [
41.59,
43.94
],
"text": "gave her a white orchid"
},
{
"timestamp": [
43.94,
46.22
],
"text": " The beetle droned in"
},
{
"timestamp": [
46.22,
48.5
],
"text": "the hot June sun"
}
],
"_usage": {
"input_tokens": 15,
"output_tokens": 227,
"inference_time_tokens": 526,
"total_tokens": 768
}
}
```
# Summary
Source: https://jigsawstack.com/docs/api-reference/ai/summary
POST https://api.jigsawstack.com/v1/ai/summary
Generate concise, intelligent summaries of text or documents with AI
## Request Parameters
### Body
The text content to summarize. Maximum 300,000 characters.
Not required if `url` or `file_store_key` is specified.
URL of a PDF document to summarize. Not required if `text` or `file_store_key`
is provided.
The key of a stored PDF document to summarize from Jigsawstack File
[Storage](/docs/api-reference/store/file/add). Not required if `text` or `url`
is provided.
The format of the summary: - `text`: Returns a continuous paragraph summary -
`points`: Returns bullet points as an array of strings
The maximum number of bullet points to generate when `type` is set to
`points`. Maximum value is 100.
The maximum number of characters in the generated summary.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
### When `type` is "text" (default)
The generated summary as a continuous paragraph.
### When `type` is "points"
An array of strings, where each string represents a bullet point in the
summary.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.summary({
"text": "The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city's Cathedral Square, after the Cathedral and the Baptistry. The tower's tilt began during construction in the 12th century, caused by an inadequate foundation on ground too soft on one side to properly support the structure's weight. The tilt increased in the decades before the structure was completed in the 14th century. It gradually increased until the structure was stabilized by efforts in the late 20th and early 21st centuries. The height of the tower is 55.86 metres (183.27 feet) from the ground on the low side and 56.67 metres (185.93 feet) on the high side. The width of the walls at the base is 2.44 m (8 ft 0.06 in). Its weight is estimated at 14,500 tonnes. The tower has 296 or 294 steps; the seventh floor has two fewer steps on the north-facing staircase.",
"type": "points",
"max_points": 3
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.summary({
"text": "The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city's Cathedral Square, after the Cathedral and the Baptistry. The tower's tilt began during construction in the 12th century, caused by an inadequate foundation on ground too soft on one side to properly support the structure's weight. The tilt increased in the decades before the structure was completed in the 14th century. It gradually increased until the structure was stabilized by efforts in the late 20th and early 21st centuries. The height of the tower is 55.86 metres (183.27 feet) from the ground on the low side and 56.67 metres (185.93 feet) on the high side. The width of the walls at the base is 2.44 m (8 ft 0.06 in). Its weight is estimated at 14,500 tonnes. The tower has 296 or 294 steps; the seventh floor has two fewer steps on the north-facing staircase.",
"type": "points",
"max_points": 3
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/summary \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"text":"The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city\'s Cathedral Square, after the Cathedral and the Baptistry. The tower\'s tilt began during construction in the 12th century, caused by an inadequate foundation on ground too soft on one side to properly support the structure\'s weight. The tilt increased in the decades before the structure was completed in the 14th century. It gradually increased until the structure was stabilized by efforts in the late 20th and early 21st centuries. The height of the tower is 55.86 metres \(183.27 feet\) from the ground on the low side and 56.67 metres \(185.93 feet\) on the high side. The width of the walls at the base is 2.44 m \(8 ft 0.06 in\). Its weight is estimated at 14,500 tonnes. The tower has 296 or 294 steps\; the seventh floor has two fewer steps on the north-facing staircase.","type":"points","max_points":3}'
```
```php PHP theme={null}
response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let url = URL(string: "https://api.jigsawstack.com/v1/ai/summary")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = "{\"text\":\"The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city\\s".data(using: .utf8)
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"text":"The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city\\s';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/summary');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"text\":\"The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city\\s"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/summary")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/summary");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
text = "The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral. It is situated behind the Cathedral and is the third-oldest structure in the city's Cathedral Square, after the Cathedral and the Baptistry. The tower's tilt began during construction in the 12th century, caused by an inadequate foundation on ground too soft on one side to properly support the structure's weight. The tilt increased in the decades before the structure was completed in the 14th century. It gradually increased until the structure was stabilized by efforts in the late 20th and early 21st centuries. The height of the tower is 55.86 metres (183.27 feet) from the ground on the low side and 56.67 metres (185.93 feet) on the high side. The width of the walls at the base is 2.44 m (8 ft 0.06 in). Its weight is estimated at 14,500 tonnes. The tower has 296 or 294 steps; the seventh floor has two fewer steps on the north-facing staircase.",
type = "points",
max_points = 3
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"summary": [
"The Leaning Tower of Pisa is the freestanding bell tower of Pisa Cathedral, located behind the Cathedral.",
"The tower's tilt started in the 12th century due to a weak foundation on soft ground.",
"The tower is approximately 55-57 meters tall and weighs an estimated 14,500 tonnes, with about 294-296 steps."
],
"_usage": {
"input_tokens": 256,
"output_tokens": 84,
"inference_time_tokens": 1497,
"total_tokens": 1837
}
}
```
# Text to SQL
Source: https://jigsawstack.com/docs/api-reference/ai/text-to-sql
POST https://api.jigsawstack.com/v1/ai/sql
Convert natural language to SQL queries for various database types.
## Request Parameters
### Body
The natural language prompt that will be translated to an SQL query. Minimum
length: 10 characters
The database schema where the query will be run. Not required if
`file_store_key` is specified.
The database type to generate SQL for. Specifying this parameter improves SQL generation
accuracy by applying database-specific syntax and optimizations.
The key used to store the database schema on Jigsawstack file
[Storage](/docs/api-reference/store/file/add). Not required if `sql_schema` is
specified.
Either `file_store_key` or `sql_schema` can be provided not both.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The generated SQL query based on the natural language prompt and provided
schema.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.text_to_sql({
"database": "postgresql",
"prompt": "Find all transactions with amounts exceeding $10,000, sorted by transaction date",
"sql_schema": "\n CREATE TABLE Transactions (\n transaction_id INT PRIMARY KEY, \n user_id INT NOT NULL,\n total_amount DECIMAL(10, 2) NOT NULL, \n transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n status VARCHAR(20) DEFAULT 'pending',\n FOREIGN KEY(user_id) REFERENCES Users(user_id)\n )\n "
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.text_to_sql({
"database": "postgresql",
"prompt": "Find all transactions with amounts exceeding $10,000, sorted by transaction date",
"sql_schema": "\n CREATE TABLE Transactions (\n transaction_id INT PRIMARY KEY, \n user_id INT NOT NULL,\n total_amount DECIMAL(10, 2) NOT NULL, \n transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\n status VARCHAR(20) DEFAULT 'pending',\n FOREIGN KEY(user_id) REFERENCES Users(user_id)\n )\n "
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/sql \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"database":"postgresql","prompt":"Find all transactions with amounts exceeding $10,000, sorted by transaction date","sql_schema":"\\n CREATE TABLE Transactions \(\\n transaction_id INT PRIMARY KEY, \\n user_id INT NOT NULL,\\n total_amount DECIMAL\(10, 2\) NOT NULL, \\n transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\\n status VARCHAR\(20\) DEFAULT \'pending\',\\n FOREIGN KEY\(user_id\) REFERENCES Users\(user_id\)\\n \)\\n "}'
```
```php PHP theme={null}
response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let url = URL(string: "https://api.jigsawstack.com/v1/ai/sql")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = "{\"database\":\"postgresql\",\"prompt\":\"Find all transactions with amounts exceeding $10,000, sorted by transaction date\",\"sql_schema\":\"\\\\n CREATE TABLE Transactions \\(\\\\n transaction_id INT PRIMARY KEY, \\\\n user_id INT NOT NULL,\\\\n total_amount DECIMAL\\(10, 2\\) NOT NULL, \\\\n transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\\\\n status VARCHAR\\(20\\) DEFAULT \\pending',\\n".data(using: .utf8)
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"database":"postgresql","prompt":"Find all transactions with amounts exceeding \$10,000, sorted by transaction date","sql_schema":"\\\\n CREATE TABLE Transactions \\(\\\\n transaction_id INT PRIMARY KEY, \\\\n user_id INT NOT NULL,\\\\n total_amount DECIMAL\\(10, 2\\) NOT NULL, \\\\n transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\\\\n status VARCHAR\\(20\\) DEFAULT \\pending\',\\n';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/sql');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"database\":\"postgresql\",\"prompt\":\"Find all transactions with amounts exceeding \$10,000, sorted by transaction date\",\"sql_schema\":\"\\\\n CREATE TABLE Transactions \\(\\\\n transaction_id INT PRIMARY KEY, \\\\n user_id INT NOT NULL,\\\\n total_amount DECIMAL\\(10, 2\\) NOT NULL, \\\\n transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,\\\\n status VARCHAR\\(20\\) DEFAULT \\pending',\\n"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/sql")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/sql");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
database = "postgresql",
prompt = "Find all transactions with amounts exceeding $10,000, sorted by transaction date",
sql_schema = "
CREATE TABLE Transactions (
transaction_id INT PRIMARY KEY,
user_id INT NOT NULL,
total_amount DECIMAL(10, 2) NOT NULL,
transaction_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
status VARCHAR(20) DEFAULT 'pending',
FOREIGN KEY(user_id) REFERENCES Users(user_id)
)
"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"sql": "SELECT * FROM Transactions WHERE total_amount > 10000 ORDER BY transaction_date;",
"_usage": {
"input_tokens": 132,
"output_tokens": 27,
"inference_time_tokens": 877,
"total_tokens": 1036
}
}
```
# Image Translate
Source: https://jigsawstack.com/docs/api-reference/ai/translate/image-translate
POST https://api.jigsawstack.com/v1/ai/translate/image
Extract and translate text from images into multiple languages.
## Request Parameters
### Body
The image url.
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack's [Handling Files](/docs/api-reference/handling-files) section.
The language code of the target language to translate to. All supported language codes can be found
[here](https://jigsawstack.com/docs/additional-resources/languages).
The specified return type for the response
## Response Structure
The response format depends on the `return_type` parameter:
#### URL Response
return\_type: "url" or "base64"
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The URL of the generated file (image or PDF) that can be accessed directly.
#### Binary Response
return\_type: "binary"
The API returns the generated file (image or PDF) directly in the response body as binary data.
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.translate.image({
"url": "https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D",
"target_language": "hi",
"return_type": "url"
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.translate.image({
"url": "https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D",
"target_language": "hi",
"return_type": "url"
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/translate/image \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"url":"https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D","target_language":"hi","return_type":"url"}'
```
```php PHP theme={null}
'https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D',
'target_language' => 'hi',
'return_type' => 'url'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"url":"https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D","target_language":"hi","return_type":"url"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/translate/image", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/translate/image"))
.POST(BodyPublishers.ofString("{\"url\":\"https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D\",\"target_language\":\"hi\",\"return_type\":\"url\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"url": "https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D",
"target_language": "hi",
"return_type": "url"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/ai/translate/image")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"url":"https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D","target_language":"hi","return_type":"url"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/translate/image');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"url\":\"https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D\",\"target_language\":\"hi\",\"return_type\":\"url\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/translate/image")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/translate/image");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
url = "https://images.unsplash.com/photo-1528716321680-815a8cdb8cbe?q=80&w=1376&auto=format&fit=crop&ixlib=rb-4.1.0&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D",
target_language = "hi",
return_type = "url"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"url": "https://jigsawstack-temp.b1e91a466694ad4af04df5d05ca12d93.r2.cloudflarestorage.com/temp/283702e7-50be-4ad8-b685-97b5c5ba135f.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=7b9a19349842b7b1a9e4c2e19f05b232%2F20250916%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20250916T185147Z&X-Amz-Expires=604800&X-Amz-Signature=068cf856f26a53b43c6f7b4421987890e407520f8bdea18d27877cf6d47c8a13&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject",
"_usage": {
"input_tokens": 56,
"output_tokens": 192,
"inference_time_tokens": 24579,
"total_tokens": 24827
}
}
```
# Text Translate
Source: https://jigsawstack.com/docs/api-reference/ai/translate/translate
POST https://api.jigsawstack.com/v1/ai/translate
Translate text from one language to another with support for multiple text formats.
## Request Parameters
### Body
The text to translate. Supports two formats:
* Single string: `{"text": "Hello, how are you doing"}`
* Array of strings: `{"text": ["Hello", "How are you doing"]}`
Maximum text length is 5000 characters per string.
The language code of the target language to translate to. All supported
language codes can be found
[here](https://jigsawstack.com/docs/additional-resources/languages).
The language code of the source text. If not provided, the API will attempt to
auto-detect the language. All supported language codes can be found
[here](https://jigsawstack.com/docs/additional-resources/languages).
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
The translated text. The format matches your input: - If you sent a single
string, you'll receive a single translated string - If you sent an array of
strings, you'll receive an array of translated strings
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.translate.text({
"text": [
"Hello",
"How are you?",
"Thank you"
],
"target_language": "zh"
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.translate.text({
"text": [
"Hello",
"How are you?",
"Thank you"
],
"target_language": "zh"
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/ai/translate \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"text":["Hello","How are you?","Thank you"],"target_language":"zh"}'
```
```php PHP theme={null}
[
'Hello',
'How are you?',
'Thank you'
],
'target_language' => 'zh'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"text":["Hello","How are you?","Thank you"],"target_language":"zh"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/ai/translate", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/ai/translate"))
.POST(BodyPublishers.ofString("{\"text\":[\"Hello\",\"How are you?\",\"Thank you\"],\"target_language\":\"zh\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"text": [
"Hello",
"How are you?",
"Thank you"
],
"target_language": "zh"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/ai/translate")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"text":["Hello","How are you?","Thank you"],"target_language":"zh"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/ai/translate');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"text\":[\"Hello\",\"How are you?\",\"Thank you\"],\"target_language\":\"zh\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/ai/translate")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/ai/translate");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
text = new List { "Hello", "How are you?", "Thank you" },
target_language = "zh"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null}
{
"success": true,
"translated_text": [
"你好",
"你好吗？",
"谢谢"
],
"_usage": {
"input_tokens": 18,
"output_tokens": 18,
"inference_time_tokens": 178,
"total_tokens": 214
}
}
```
# vOCR
Source: https://jigsawstack.com/docs/api-reference/ai/vocr
POST https://api.jigsawstack.com/v1/vocr
Recognise, describe and retrieve data within an image with great accuracy.
### Body
The image url.
The key used to store the image on Jigsawstack file. Learn more about how to handle files in Jigsawstack's [Handling Files](/docs/api-reference/handling-files) section.
The prompt used to describe the image. Default prompt is `Describe the image in detail.`
Enables enhanced OCR processing to improve bounding box accuracy for detected text elements.
Specifies a range of pages to process with vOCR, provided as a two-element array: \[startPage, endPage]. For example, `[1,10]` processes pages 1
through 10. The range must span 10 or fewer pages. If the specified endPage exceeds the document's total pages, the last available page will be used
instead. Both startPage and endPage are inclusive and must be positive integers where startPage ≤ endPage.
Either `url` or `file_store_key` should be provided not both.
## Prompt Example
* **`String`**
```javascript theme={null}
{
prompt: "Describe the image in detail.";
}
```
* **`Array`**
> Use this approach to retrieve specific data from the image file.
```javascript theme={null}
{
prompt: ["first name", "last name"];
}
```
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
When using a string prompt: Returns the descriptive text about the image.
When using an array prompt: Returns an object with keys matching the prompt items and values as arrays of extracted data.
The width of the processed image in pixels.
The height of the processed image in pixels.
Array of automatically generated tags describing the content of the image.
Indicates whether text was detected in the image.
Array of text sections detected in the image with detailed positioning information.
The complete text content of this section.
Array of individual text lines within this section.
The text content of this line.
The average confidence score for the line.
Bounding box coordinates.
Top-left corner coordinates.
X-coordinate.
Y-coordinate.
Top-right corner coordinates (same structure as top\_left).
Bottom-left corner coordinates (same structure as top\_left).
Bottom-right corner coordinates (same structure as top\_left).
Width of the bounding box.
Height of the bounding box.
Array of individual words within this line.
The text content of this word.
Bounding box coordinates for the word (same structure as line bounds).
The confidence score for this word.
The total number of pages in the document. Only available for PDF files.
The range of pages that were processed. Only available when `page_range` parameter is specified in the request.
Supported file types: - **Images**: JPEG, JPG, PNG - **Documents**: Multi-page PDFs (up to 10 pages per API request)
```javascript Javascript theme={null} theme={null} theme={null} theme={null} theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.vision.vocr({
"prompt": [
"total_price",
"tax"
],
"url": "https://jigsawstack.com/preview/vocr-example.jpg"
})
```
```python Python theme={null} theme={null} theme={null} theme={null} theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.vision.vocr({
"prompt": [
"total_price",
"tax"
],
"url": "https://jigsawstack.com/preview/vocr-example.jpg"
})
```
```bash Curl theme={null} theme={null} theme={null} theme={null} theme={null}
curl https://api.jigsawstack.com/v1/vocr \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"prompt":["total_price","tax"],"url":"https://jigsawstack.com/preview/vocr-example.jpg"}'
```
```php PHP theme={null} theme={null} theme={null} theme={null} theme={null}
[
'total_price',
'tax'
],
'url' => 'https://jigsawstack.com/preview/vocr-example.jpg'
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null} theme={null} theme={null} theme={null} theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"prompt":["total_price","tax"],"url":"https://jigsawstack.com/preview/vocr-example.jpg"}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/vocr", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null} theme={null} theme={null} theme={null} theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/vocr"))
.POST(BodyPublishers.ofString("{\"prompt\":[\"total_price\",\"tax\"],\"url\":\"https://jigsawstack.com/preview/vocr-example.jpg\"}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null} theme={null} theme={null} theme={null} theme={null}
import Foundation
let jsonData = [
"prompt": [
"total_price",
"tax"
],
"url": "https://jigsawstack.com/preview/vocr-example.jpg"
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/vocr")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null} theme={null} theme={null} theme={null} theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"prompt":["total_price","tax"],"url":"https://jigsawstack.com/preview/vocr-example.jpg"}';
final url = Uri.parse('https://api.jigsawstack.com/v1/vocr');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null} theme={null} theme={null} theme={null} theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"prompt\":[\"total_price\",\"tax\"],\"url\":\"https://jigsawstack.com/preview/vocr-example.jpg\"}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/vocr")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null} theme={null} theme={null} theme={null} theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/vocr");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
prompt = new List { "total_price", "tax" },
url = "https://jigsawstack.com/preview/vocr-example.jpg"
});
request.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
HttpResponseMessage response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
string responseBody = await response.Content.ReadAsStringAsync();
Console.WriteLine(responseBody);
```
```json Response theme={null} theme={null} theme={null} theme={null} theme={null}
{
"success": true,
"context": {
"total_price": [
"144.02"
],
"tax": [
"4.58"
]
},
"width": 720,
"height": 960,
"tags": [
"text",
"paper",
"receipt"
],
"has_text": true,
"sections": [
{
"text": "See back of receipt for your chance\nto win $1000 ID #: 7N5N1V1XCQDQ\nWalmart\n317-851-1102 Mgr:JAMIE BROOKSHIRE\n882 S. STATE ROAD 135\nGREENWOOD IN 46143\nST# 05483 OP# 001436 TE# 09 TR# 06976\nTATER TOTS\n001312000026 F 2.96 0\nHARD/PROV/DC 007874219410 F\nSNACK BARS\n2.68 0\nHRI CL CHS 5.88 0\n002190848816 F 4.98 T\nHRI CL CHS\n003120606000 F\n003120506000 F 6.88 0\n** VOIDED ENTRY ##\nHRI CL CHS\n003120506000 F 5.88-0\nHRI 12 U SG 003120535000 F\nHRI CL PEP 003120507000 F\n5.88 D\nEARBUDS 068113100946 4.88 X\n5.88 0\nSC BCN CHDDR 007874202906 F\nABF THINBRST 022451710972 F\n6.98 0\nHARD/PROV/DC 007874219410 F\n9.72 0\nDV RSE OIL M 001111101220\n2.68 0\nAPPLE 3 BAG 084747300184 F\n5.94 X\nSTOK LT SWT 004127102774 F\n6.47 N\nPEANUT BUTTR 005160026499 F 6.44 0\n4.42 T\nAVO VERDE 061611206143 F 2.98 N\nROLLS 007874219416 F 1.28 0\nBTS DRY BLON 501072452746 6.58 X\nGALE 000000000003K 32.00 T\nTR HS FRM 4 002240062190 2.74 X\nBAGELS 001376402801 F 4.66 0\nGV SLIDERS 007874201625 2.98 X\nACCESSORY 007515161216 0.97 X\nCHEEZE IT 002410053523 F 4.00 0\nWAS 4.54 YOU SAVED 0.54\nRITZ 004400088210 F 2.78 N\nRUFFLES 002840020942 F 2.50 N\nGV HNY GRMS 007874207253 F 1.28 N\nSUBTOTAL 139.44\nTAX 1 7.000 % 4.58\nTOTAL 144.02\nCASH TEND 150.02\nCHANGE DUE 6.00\n# ITEMS SOLD 26\nTC# 0783 6080 4072 3416 2495 5\n04/27/19 12:59:46\nScan with Walmart app to save receipts",
"lines": [
{
"text": "See back of receipt for your chance",
"bounds": {
"top_left": {
"x": 185,
"y": 64
},
"top_right": {
"x": 459,
"y": 76
},
"bottom_right": {
"x": 458,
"y": 93
},
"bottom_left": {
"x": 184,
"y": 84
},
"width": 274,
"height": 18.5
},
"words": [
{
"text": "See",
"bounds": {
"top_left": {
"x": 187,
"y": 64
},
"top_right": {
"x": 210,
"y": 66
},
"bottom_right": {
"x": 209,
"y": 82
},
"bottom_left": {
"x": 185,
"y": 79
},
"width": 23.5,
"height": 15.5
}
},
{
"text": "back",
"bounds": {
"top_left": {
"x": 218,
"y": 67
},
"top_right": {
"x": 249,
"y": 70
},
"bottom_right": {
"x": 248,
"y": 86
},
"bottom_left": {
"x": 216,
"y": 83
},
"width": 31.5,
"height": 16
}
},
{
"text": "of",
"bounds": {
"top_left": {
"x": 258,
"y": 70
},
"top_right": {
"x": 274,
"y": 72
},
"bottom_right": {
"x": 273,
"y": 88
},
"bottom_left": {
"x": 256,
"y": 87
},
"width": 16.5,
"height": 16.5
}
},
{
"text": "receipt",
"bounds": {
"top_left": {
"x": 281,
"y": 72
},
"top_right": {
"x": 337,
"y": 75
},
"bottom_right": {
"x": 336,
"y": 91
},
"bottom_left": {
"x": 279,
"y": 88
},
"width": 56.5,
"height": 16
}
},
{
"text": "for",
"bounds": {
"top_left": {
"x": 342,
"y": 75
},
"top_right": {
"x": 365,
"y": 76
},
"bottom_right": {
"x": 364,
"y": 92
},
"bottom_left": {
"x": 341,
"y": 92
},
"width": 23,
"height": 16.5
}
},
{
"text": "your",
"bounds": {
"top_left": {
"x": 371,
"y": 76
},
"top_right": {
"x": 403,
"y": 77
},
"bottom_right": {
"x": 402,
"y": 93
},
"bottom_left": {
"x": 371,
"y": 92
},
"width": 31.5,
"height": 16
}
},
{
"text": "chance",
"bounds": {
"top_left": {
"x": 410,
"y": 77
},
"top_right": {
"x": 457,
"y": 77
},
"bottom_right": {
"x": 457,
"y": 92
},
"bottom_left": {
"x": 410,
"y": 93
},
"width": 47,
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"text": "CHEEZE IT 002410053523 F 4.00 0",
"bounds": {
"top_left": {
"x": 169,
"y": 541
},
"top_right": {
"x": 244,
"y": 542
},
"bottom_right": {
"x": 244,
"y": 558
},
"bottom_left": {
"x": 169,
"y": 556
},
"width": 75,
"height": 15.5
},
"words": [
{
"text": "CHEEZE",
"bounds": {
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"x": 170,
"y": 541
},
"top_right": {
"x": 218,
"y": 543
},
"bottom_right": {
"x": 218,
"y": 557
},
"bottom_left": {
"x": 170,
"y": 557
},
"width": 48,
"height": 15
}
},
{
"text": "IT",
"bounds": {
"top_left": {
"x": 228,
"y": 543
},
"top_right": {
"x": 244,
"y": 544
},
"bottom_right": {
"x": 242,
"y": 558
},
"bottom_left": {
"x": 227,
"y": 557
},
"width": 15.5,
"height": 14
}
}
]
},
{
"text": "WAS 4.54 YOU SAVED 0.54",
"bounds": {
"top_left": {
"x": 195,
"y": 556
},
"top_right": {
"x": 384,
"y": 559
},
"bottom_right": {
"x": 384,
"y": 573
},
"bottom_left": {
"x": 194,
"y": 571
},
"width": 189.5,
"height": 14.5
},
"words": [
{
"text": "WAS",
"bounds": {
"top_left": {
"x": 201,
"y": 557
},
"top_right": {
"x": 226,
"y": 557
},
"bottom_right": {
"x": 225,
"y": 572
},
"bottom_left": {
"x": 200,
"y": 571
},
"width": 25,
"height": 14.5
}
},
{
"text": "4.54",
"bounds": {
"top_left": {
"x": 235,
"y": 557
},
"top_right": {
"x": 267,
"y": 558
},
"bottom_right": {
"x": 267,
"y": 573
},
"bottom_left": {
"x": 235,
"y": 572
},
"width": 32,
"height": 15
}
},
{
"text": "YOU",
"bounds": {
"top_left": {
"x": 274,
"y": 558
},
"top_right": {
"x": 296,
"y": 559
},
"bottom_right": {
"x": 295,
"y": 573
},
"bottom_left": {
"x": 273,
"y": 573
},
"width": 22,
"height": 14.5
}
},
{
"text": "SAVED",
"bounds": {
"top_left": {
"x": 305,
"y": 559
},
"top_right": {
"x": 344,
"y": 560
},
"bottom_right": {
"x": 344,
"y": 573
},
"bottom_left": {
"x": 305,
"y": 573
},
"width": 39,
"height": 13.5
}
},
{
"text": "0.54",
"bounds": {
"top_left": {
"x": 352,
"y": 560
},
"top_right": {
"x": 383,
"y": 560
},
"bottom_right": {
"x": 383,
"y": 573
},
"bottom_left": {
"x": 352,
"y": 573
},
"width": 31,
"height": 13
}
}
]
},
{
"text": "RITZ 004400088210 F 2.78 N",
"bounds": {
"top_left": {
"x": 166,
"y": 570
},
"top_right": {
"x": 203,
"y": 571
},
"bottom_right": {
"x": 202,
"y": 585
},
"bottom_left": {
"x": 166,
"y": 584
},
"width": 36.5,
"height": 14
},
"words": [
{
"text": "RITZ",
"bounds": {
"top_left": {
"x": 168,
"y": 570
},
"top_right": {
"x": 201,
"y": 571
},
"bottom_right": {
"x": 201,
"y": 585
},
"bottom_left": {
"x": 167,
"y": 584
},
"width": 33.5,
"height": 14
}
}
]
},
{
"text": "RUFFLES 002840020942 F 2.50 N",
"bounds": {
"top_left": {
"x": 166,
"y": 585
},
"top_right": {
"x": 225,
"y": 585
},
"bottom_right": {
"x": 225,
"y": 598
},
"bottom_left": {
"x": 166,
"y": 599
},
"width": 59,
"height": 13.5
},
"words": [
{
"text": "RUFFLES",
"bounds": {
"top_left": {
"x": 167,
"y": 585
},
"top_right": {
"x": 224,
"y": 585
},
"bottom_right": {
"x": 224,
"y": 599
},
"bottom_left": {
"x": 167,
"y": 599
},
"width": 57,
"height": 14
}
}
]
},
{
"text": "GV HNY GRMS 007874207253 F 1.28 N",
"bounds": {
"top_left": {
"x": 166,
"y": 599
},
"top_right": {
"x": 257,
"y": 600
},
"bottom_right": {
"x": 257,
"y": 615
},
"bottom_left": {
"x": 166,
"y": 615
},
"width": 91,
"height": 15.5
},
"words": [
{
"text": "GV",
"bounds": {
"top_left": {
"x": 167,
"y": 600
},
"top_right": {
"x": 182,
"y": 600
},
"bottom_right": {
"x": 181,
"y": 615
},
"bottom_left": {
"x": 166,
"y": 615
},
"width": 15,
"height": 15
}
},
{
"text": "HNY",
"bounds": {
"top_left": {
"x": 190,
"y": 600
},
"top_right": {
"x": 216,
"y": 600
},
"bottom_right": {
"x": 215,
"y": 616
},
"bottom_left": {
"x": 189,
"y": 615
},
"width": 26,
"height": 15.5
}
},
{
"text": "GRMS",
"bounds": {
"top_left": {
"x": 223,
"y": 600
},
"top_right": {
"x": 255,
"y": 600
},
"bottom_right": {
"x": 255,
"y": 616
},
"bottom_left": {
"x": 223,
"y": 616
},
"width": 32,
"height": 16
}
}
]
},
{
"text": "SUBTOTAL 139.44",
"bounds": {
"top_left": {
"x": 309,
"y": 615
},
"top_right": {
"x": 374,
"y": 617
},
"bottom_right": {
"x": 374,
"y": 631
},
"bottom_left": {
"x": 309,
"y": 629
},
"width": 65,
"height": 14
},
"words": [
{
"text": "SUBTOTAL",
"bounds": {
"top_left": {
"x": 311,
"y": 616
},
"top_right": {
"x": 374,
"y": 618
},
"bottom_right": {
"x": 372,
"y": 632
},
"bottom_left": {
"x": 310,
"y": 630
},
"width": 62.5,
"height": 14
}
}
]
},
{
"text": "TAX 1 7.000 % 4.58",
"bounds": {
"top_left": {
"x": 238,
"y": 630
},
"top_right": {
"x": 278,
"y": 631
},
"bottom_right": {
"x": 278,
"y": 644
},
"bottom_left": {
"x": 238,
"y": 644
},
"width": 40,
"height": 13.5
},
"words": [
{
"text": "TAX",
"bounds": {
"top_left": {
"x": 239,
"y": 630
},
"top_right": {
"x": 262,
"y": 630
},
"bottom_right": {
"x": 262,
"y": 644
},
"bottom_left": {
"x": 239,
"y": 643
},
"width": 23,
"height": 13.5
}
},
{
"text": "1",
"bounds": {
"top_left": {
"x": 272,
"y": 630
},
"top_right": {
"x": 277,
"y": 630
},
"bottom_right": {
"x": 277,
"y": 644
},
"bottom_left": {
"x": 271,
"y": 644
},
"width": 5.5,
"height": 14
}
}
]
},
{
"text": "TOTAL 144.02",
"bounds": {
"top_left": {
"x": 332,
"y": 645
},
"top_right": {
"x": 374,
"y": 647
},
"bottom_right": {
"x": 373,
"y": 660
},
"bottom_left": {
"x": 332,
"y": 660
},
"width": 41.5,
"height": 14
},
"words": [
{
"text": "TOTAL",
"bounds": {
"top_left": {
"x": 335,
"y": 645
},
"top_right": {
"x": 373,
"y": 646
},
"bottom_right": {
"x": 372,
"y": 661
},
"bottom_left": {
"x": 335,
"y": 660
},
"width": 37.5,
"height": 15
}
}
]
},
{
"text": "CASH TEND 150.02",
"bounds": {
"top_left": {
"x": 291,
"y": 660
},
"top_right": {
"x": 375,
"y": 660
},
"bottom_right": {
"x": 375,
"y": 675
},
"bottom_left": {
"x": 291,
"y": 674
},
"width": 84,
"height": 14.5
},
"words": [
{
"text": "CASH",
"bounds": {
"top_left": {
"x": 292,
"y": 660
},
"top_right": {
"x": 324,
"y": 660
},
"bottom_right": {
"x": 323,
"y": 675
},
"bottom_left": {
"x": 292,
"y": 675
},
"width": 31.5,
"height": 15
}
},
{
"text": "TEND",
"bounds": {
"top_left": {
"x": 342,
"y": 661
},
"top_right": {
"x": 373,
"y": 661
},
"bottom_right": {
"x": 372,
"y": 675
},
"bottom_left": {
"x": 341,
"y": 675
},
"width": 31,
"height": 14
}
}
]
},
{
"text": "CHANGE DUE 6.00",
"bounds": {
"top_left": {
"x": 290,
"y": 675
},
"top_right": {
"x": 373,
"y": 675
},
"bottom_right": {
"x": 373,
"y": 690
},
"bottom_left": {
"x": 290,
"y": 690
},
"width": 83,
"height": 15
},
"words": [
{
"text": "CHANGE",
"bounds": {
"top_left": {
"x": 292,
"y": 676
},
"top_right": {
"x": 340,
"y": 676
},
"bottom_right": {
"x": 339,
"y": 690
},
"bottom_left": {
"x": 291,
"y": 690
},
"width": 48,
"height": 14
}
},
{
"text": "DUE",
"bounds": {
"top_left": {
"x": 348,
"y": 676
},
"top_right": {
"x": 372,
"y": 676
},
"bottom_right": {
"x": 372,
"y": 690
},
"bottom_left": {
"x": 348,
"y": 690
},
"width": 24,
"height": 14
}
}
]
},
{
"text": "# ITEMS SOLD 26",
"bounds": {
"top_left": {
"x": 249,
"y": 689
},
"top_right": {
"x": 376,
"y": 690
},
"bottom_right": {
"x": 376,
"y": 706
},
"bottom_left": {
"x": 248,
"y": 705
},
"width": 127.5,
"height": 16
},
"words": [
{
"text": "#",
"bounds": {
"top_left": {
"x": 251,
"y": 690
},
"top_right": {
"x": 260,
"y": 690
},
"bottom_right": {
"x": 259,
"y": 705
},
"bottom_left": {
"x": 251,
"y": 705
},
"width": 8.5,
"height": 15
}
},
{
"text": "ITEMS",
"bounds": {
"top_left": {
"x": 268,
"y": 690
},
"top_right": {
"x": 308,
"y": 691
},
"bottom_right": {
"x": 307,
"y": 706
},
"bottom_left": {
"x": 267,
"y": 705
},
"width": 40,
"height": 15
}
},
{
"text": "SOLD",
"bounds": {
"top_left": {
"x": 317,
"y": 691
},
"top_right": {
"x": 347,
"y": 691
},
"bottom_right": {
"x": 347,
"y": 706
},
"bottom_left": {
"x": 316,
"y": 706
},
"width": 30.5,
"height": 15
}
},
{
"text": "26",
"bounds": {
"top_left": {
"x": 357,
"y": 691
},
"top_right": {
"x": 372,
"y": 691
},
"bottom_right": {
"x": 372,
"y": 705
},
"bottom_left": {
"x": 357,
"y": 706
},
"width": 15,
"height": 14.5
}
}
]
},
{
"text": "TC# 0783 6080 4072 3416 2495 5",
"bounds": {
"top_left": {
"x": 192,
"y": 703
},
"top_right": {
"x": 440,
"y": 705
},
"bottom_right": {
"x": 439,
"y": 723
},
"bottom_left": {
"x": 192,
"y": 720
},
"width": 247.5,
"height": 17.5
},
"words": [
{
"text": "TC#",
"bounds": {
"top_left": {
"x": 193,
"y": 704
},
"top_right": {
"x": 218,
"y": 704
},
"bottom_right": {
"x": 218,
"y": 720
},
"bottom_left": {
"x": 193,
"y": 720
},
"width": 25,
"height": 16
}
},
{
"text": "0783",
"bounds": {
"top_left": {
"x": 226,
"y": 704
},
"top_right": {
"x": 259,
"y": 704
},
"bottom_right": {
"x": 259,
"y": 721
},
"bottom_left": {
"x": 225,
"y": 720
},
"width": 33.5,
"height": 16.5
}
},
{
"text": "6080",
"bounds": {
"top_left": {
"x": 266,
"y": 704
},
"top_right": {
"x": 300,
"y": 704
},
"bottom_right": {
"x": 300,
"y": 721
},
"bottom_left": {
"x": 266,
"y": 721
},
"width": 34,
"height": 17
}
},
{
"text": "4072",
"bounds": {
"top_left": {
"x": 308,
"y": 704
},
"top_right": {
"x": 342,
"y": 705
},
"bottom_right": {
"x": 341,
"y": 721
},
"bottom_left": {
"x": 308,
"y": 721
},
"width": 33.5,
"height": 16.5
}
},
{
"text": "3416",
"bounds": {
"top_left": {
"x": 348,
"y": 705
},
"top_right": {
"x": 380,
"y": 705
},
"bottom_right": {
"x": 379,
"y": 722
},
"bottom_left": {
"x": 347,
"y": 722
},
"width": 32,
"height": 17
}
},
{
"text": "2495",
"bounds": {
"top_left": {
"x": 389,
"y": 705
},
"top_right": {
"x": 421,
"y": 706
},
"bottom_right": {
"x": 420,
"y": 723
},
"bottom_left": {
"x": 388,
"y": 722
},
"width": 32,
"height": 17
}
},
{
"text": "5",
"bounds": {
"top_left": {
"x": 428,
"y": 706
},
"top_right": {
"x": 436,
"y": 706
},
"bottom_right": {
"x": 435,
"y": 724
},
"bottom_left": {
"x": 427,
"y": 723
},
"width": 8,
"height": 17.5
}
}
]
},
{
"text": "04/27/19 12:59:46",
"bounds": {
"top_left": {
"x": 223,
"y": 763
},
"top_right": {
"x": 291,
"y": 763
},
"bottom_right": {
"x": 291,
"y": 779
},
"bottom_left": {
"x": 223,
"y": 779
},
"width": 68,
"height": 16
},
"words": [
{
"text": "04/27/19",
"bounds": {
"top_left": {
"x": 224,
"y": 763
},
"top_right": {
"x": 289,
"y": 764
},
"bottom_right": {
"x": 288,
"y": 779
},
"bottom_left": {
"x": 224,
"y": 779
},
"width": 64.5,
"height": 15.5
}
}
]
},
{
"text": "Scan with Walmart app to save receipts",
"bounds": {
"top_left": {
"x": 154,
"y": 778
},
"top_right": {
"x": 469,
"y": 782
},
"bottom_right": {
"x": 469,
"y": 801
},
"bottom_left": {
"x": 154,
"y": 796
},
"width": 315,
"height": 18.5
},
"words": [
{
"text": "Scan",
"bounds": {
"top_left": {
"x": 155,
"y": 779
},
"top_right": {
"x": 188,
"y": 779
},
"bottom_right": {
"x": 187,
"y": 797
},
"bottom_left": {
"x": 154,
"y": 797
},
"width": 33,
"height": 18
}
},
{
"text": "with",
"bounds": {
"top_left": {
"x": 196,
"y": 779
},
"top_right": {
"x": 230,
"y": 779
},
"bottom_right": {
"x": 229,
"y": 796
},
"bottom_left": {
"x": 195,
"y": 797
},
"width": 34,
"height": 17.5
}
},
{
"text": "Walmart",
"bounds": {
"top_left": {
"x": 238,
"y": 779
},
"top_right": {
"x": 298,
"y": 780
},
"bottom_right": {
"x": 297,
"y": 796
},
"bottom_left": {
"x": 237,
"y": 796
},
"width": 60,
"height": 16.5
}
},
{
"text": "app",
"bounds": {
"top_left": {
"x": 305,
"y": 780
},
"top_right": {
"x": 330,
"y": 780
},
"bottom_right": {
"x": 329,
"y": 797
},
"bottom_left": {
"x": 304,
"y": 796
},
"width": 25,
"height": 16.5
}
},
{
"text": "to",
"bounds": {
"top_left": {
"x": 339,
"y": 781
},
"top_right": {
"x": 354,
"y": 781
},
"bottom_right": {
"x": 353,
"y": 797
},
"bottom_left": {
"x": 338,
"y": 797
},
"width": 15,
"height": 16
}
},
{
"text": "save",
"bounds": {
"top_left": {
"x": 362,
"y": 781
},
"top_right": {
"x": 395,
"y": 782
},
"bottom_right": {
"x": 394,
"y": 798
},
"bottom_left": {
"x": 361,
"y": 797
},
"width": 33,
"height": 16
}
},
{
"text": "receipts",
"bounds": {
"top_left": {
"x": 401,
"y": 783
},
"top_right": {
"x": 469,
"y": 786
},
"bottom_right": {
"x": 468,
"y": 800
},
"bottom_left": {
"x": 400,
"y": 798
},
"width": 68,
"height": 14.5
}
}
]
}
]
}
],
"_usage": {
"input_tokens": 23,
"output_tokens": 11203,
"inference_time_tokens": 3666,
"total_tokens": 14892
}
}
```
# All Models & APIs
Source: https://jigsawstack.com/docs/api-reference/all-models
Complete reference guide to all models and APIs
## Core AI
| API | Description |
| ----------------------------------------------------------- | ---------------------------------------------------- |
| [Sentiment Analysis](/docs/api-reference/ai/sentiment) | Analyze text sentiment (positive, negative, neutral) |
| [Translation](/docs/api-reference/ai/translate) | Translate text between languages |
| [Summary](/docs/api-reference/ai/summary) | Generate concise text summaries |
| [Time Series Prediction](/docs/api-reference/ai/prediction) | Forecast future values based on historical data |
| [Text to SQL](/docs/api-reference/ai/text-to-sql) | Convert natural language to SQL queries |
| [Image Generation](/docs/api-reference/ai/image-generation) | Create images from text prompts |
## Web & Search
| API | Description |
| -------------------------------------------------- | ------------------------------------------- |
| [AI Web Scraper](/docs/api-reference/ai/scrape) | Intelligent web scraping with AI extraction |
| [HTML to Any](/docs/api-reference/web/html-to-any) | Convert HTML to various formats |
| [Web Search](/docs/api-reference/web/ai-search) | AI-powered web search functionality |
## Language Models
| API | Description |
| --------------------------------- | ---------------------------- |
| [Interfaze](https://interfaze.ai) | The LLM built for developers |
## Computer Vision
| API | Description |
| ----------------------------------------------------------- | ------------------------------------- |
| [vOCR](/docs/api-reference/ai/vocr) | Extract text from images |
| [Object Detection](/docs/api-reference/ai/object-detection) | Identify and locate objects in images |
## Audio Processing
| API | Description |
| ------------------------------------------------------- | --------------------------------------- |
| [Speech to Text](/docs/api-reference/ai/speech-to-text) | Convert spoken language to written text |
## Content Validation
| API | Description |
| --------------------------------------------------------- | ---------------------------------- |
| [NSFW Detection](/docs/api-reference/validate/nsfw) | Detect not safe for work content |
| [Profanity Check](/docs/api-reference/validate/profanity) | Filter inappropriate language |
| [Spell Check](/docs/api-reference/validate/spellcheck) | Detect and correct spelling errors |
| [Spam Check](/docs/api-reference/ai/spam-check) | Identify spam content |
## File Management
| API | Description |
| ---------------------------------------------- | ----------------------------------- |
| [File Storage](/docs/api-reference/store/file) | Store and manage files in the cloud |
## Getting Started
```javascript theme={null}
// Example: Using the Sentiment Analysis API
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.sentiment({
text: "I love this product!",
});
console.log(result);
// Output: { sentiment: "positive", score: 0.92 }
```
For detailed usage instructions, code examples, and response formats, click on any API link above.
## Need Help?
* Check our [quickstart guide](/docs/quick-start/node/introduction)
* Join our [Discord](https://jigsawstack.com/discord)
# Authentication
Source: https://jigsawstack.com/docs/api-reference/authentication
Secure Access to JigsawStack API & SDK.
## Retrieve your API key
* Log in to your JigsawStack [dashboard](https://jigsawstack.com/dashboard)
* Navigate to Keys tab.
* Click on `+ Create new key` button to create a new API key.
* Copy the API key and securely store it in your environment variables.
## Secret and Public keys
The JigsawStack API has two types of API keys: `secret` and `public`.
### Secret keys
* Secret API keys are great for backend services. A secret key can access all APIs without any restrictions.
Your `secret` API key should never be public, shared or exposed in a github
repository.
### Public API keys
* Public API keys are ideal for frontend applications, allowing direct API calls from the client side. However, it's important to set public key restrictions for added security.
#### Public Key Restrictions
1. **API access** - Limits public key access to the specified APIs.
2. **Whitelist domains(routes)** - Restrict public key access to the specified domains.
Domain whitelisting is recommended when creating `public` api keys.
## Base URL
The JigsawStack base URL is built on REST principles. We enforce HTTPS in every request to improve data security, integrity, and privacy. The base URL does not support HTTP.
Base URL `https://api.jigsawstack.com`
The JigsawStack API uses API keys to authenticate requests. You can view and manage your API keys in the JigsawStack Dashboard.
## SDK authentication
* Configure API key as an environment variable
```bash .env theme={null}
JIGSAWSTACK_API_KEY='your-api-key'
```
* Authenticate
```javascript Javascript/Typescript theme={null}
const jigsawstack = JigsawStack({ apiKey: process.env.JIGSAWSTACK_API_KEY });
```
```python Python theme={null}
jigsawstack = JigsawStack(api_key=os.environ["JIGSAWSTACK_API_KEY"])
```
## API request
* Attach the header parameter `x-api-key` with the API key obtained from your dashboard.
```js theme={null}
const headers = {
"x-api-key": "",
};
const baseUrl = "https://api.jigsawstack.com";
const result = await fetch(`${baseUrl}/v1/ai/summary`, {
method: "POST",
body: {
text: "The Leaning Tower of Pisa, or simply, the Tower of Pisa, is the campanile, or freestanding bell tower, of Pisa Cathedral",
},
headers,
});
```
* You can also add `x-api-key` as query parameter.
```js theme={null}
const baseUrl = "https://api.jigsawstack.com";
await fetch(`${baseUrl}/v1/ai/summary?x-api-key=`);
```
`x-api-key` as query parameter only works for public API keys.
## Protecting against key leakage.
* Avoid storing keys in source code repositories (e.g., GitHub). Bad actors often scan public repositories for leaked keys. Even if the repository is private, it can still be accessed by team members in their development environments.
* Never embed secret keys directly in applications. Instead, read them from environment variables to keep them secure.
* Use only public keys in client-side applications. Ensure that you whitelist specific domains that can access this public key to prevent unauthorized use.
* Store secret keys in secure key management systems (KMS). When creating a key (e.g., from the JigsawStack Dashboard), it will only be revealed once. Immediately copy the key to a KMS, which is designed to handle sensitive information with encryption and access controls. Ensure that you don't leave a copy of the key in any local files.
# Classification
Source: https://jigsawstack.com/docs/api-reference/classification/classification
POST https://api.jigsawstack.com/v1/classification
Classify text and image datasets using custom labels.
### Body
Array of data samples to classify. Each sample contains:
* `type`: Either "text" or "image"
* `value`: The content to classify (text string or image URL)
Maximum of 32 samples allowed per request. At least 1 sample required.
All items in the dataset must be of the same type. You cannot mix text and image samples in a single request.
Array of classification labels. Each label contains:
* `key`: Optional identifier for the label
* `type`: Either "text" or "image"
* `value`: The label content (text string or image URL)
At least 2 labels required.
Whether to allow multiple labels per classification result. When false, each prediction returns a single label. When true, each prediction can return multiple labels.
Indicates whether the call was successful.
Usage information for the API call.
Number of input tokens processed.
Number of output tokens generated.
Number of tokens processed during inference time.
Total number of tokens used (input + output).
A unique identifier for the request
Array of classification results. Each element corresponds to a dataset sample:
* If `multiple_labels` is false: Each element is a string (single label)
* If `multiple_labels` is true: Each element is an array of strings (multiple labels)
```javascript Javascript theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.classification({
"dataset": [
{
"type": "image",
"value": "https://jigsawstack.com/preview/classification-example-1.jpg"
},
{
"type": "image",
"value": "https://jigsawstack.com/preview/classification-example-2.jpg"
}
],
"labels": [
{
"type": "text",
"value": "hotdog"
},
{
"type": "text",
"value": "not a hotdog"
}
]
})
```
```python Python theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.classification({
"dataset": [
{
"type": "image",
"value": "https://jigsawstack.com/preview/classification-example-1.jpg"
},
{
"type": "image",
"value": "https://jigsawstack.com/preview/classification-example-2.jpg"
}
],
"labels": [
{
"type": "text",
"value": "hotdog"
},
{
"type": "text",
"value": "not a hotdog"
}
]
})
```
```bash Curl theme={null}
curl https://api.jigsawstack.com/v1/classification \
-X POST \
-H 'Content-Type: application/json' \
-H 'x-api-key: your-api-key' \
-d '{"dataset":[{"type":"image","value":"https://jigsawstack.com/preview/classification-example-1.jpg"},{"type":"image","value":"https://jigsawstack.com/preview/classification-example-2.jpg"}],"labels":[{"type":"text","value":"hotdog"},{"type":"text","value":"not a hotdog"}]}'
```
```php PHP theme={null}
[
{
'type' => 'image',
'value' => 'https://jigsawstack.com/preview/classification-example-1.jpg'
},
{
'type' => 'image',
'value' => 'https://jigsawstack.com/preview/classification-example-2.jpg'
}
],
'labels' => [
{
'type' => 'text',
'value' => 'hotdog'
},
{
'type' => 'text',
'value' => 'not a hotdog'
}
]
}.to_json
req_options = {
use_ssl: uri.scheme == 'https'
}
res = Net::HTTP.start(uri.hostname, uri.port, req_options) do |http|
http.request(req)
end
```
```go Go theme={null}
package main
import (
"fmt"
"io"
"log"
"net/http"
"strings"
)
func main() {
client := &http.Client{}
var data = strings.NewReader(`{"dataset":[{"type":"image","value":"https://jigsawstack.com/preview/classification-example-1.jpg"},{"type":"image","value":"https://jigsawstack.com/preview/classification-example-2.jpg"}],"labels":[{"type":"text","value":"hotdog"},{"type":"text","value":"not a hotdog"}]}`)
req, err := http.NewRequest("POST", "https://api.jigsawstack.com/v1/classification", data)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("x-api-key", "your-api-key")
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
fmt.Printf("%s\n", bodyText)
}
```
```java Java theme={null}
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpRequest.BodyPublishers;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.jigsawstack.com/v1/classification"))
.POST(BodyPublishers.ofString("{\"dataset\":[{\"type\":\"image\",\"value\":\"https://jigsawstack.com/preview/classification-example-1.jpg\"},{\"type\":\"image\",\"value\":\"https://jigsawstack.com/preview/classification-example-2.jpg\"}],\"labels\":[{\"type\":\"text\",\"value\":\"hotdog\"},{\"type\":\"text\",\"value\":\"not a hotdog\"}]}"))
.setHeader("Content-Type", "application/json")
.setHeader("x-api-key", "your-api-key")
.build();
HttpResponse response = client.send(request, HttpResponse.BodyHandlers.ofString());
```
```swift Swift theme={null}
import Foundation
let jsonData = [
"dataset": [
[
"type": "image",
"value": "https://jigsawstack.com/preview/classification-example-1.jpg"
],
[
"type": "image",
"value": "https://jigsawstack.com/preview/classification-example-2.jpg"
]
],
"labels": [
[
"type": "text",
"value": "hotdog"
],
[
"type": "text",
"value": "not a hotdog"
]
]
] as [String : Any]
let data = try! JSONSerialization.data(withJSONObject: jsonData, options: [])
let url = URL(string: "https://api.jigsawstack.com/v1/classification")!
let headers = [
"Content-Type": "application/json",
"x-api-key": "your-api-key"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = data as Data
let task = URLSession.shared.dataTask(with: request) { (data, response, error) in
if let error = error {
print(error)
} else if let data = data {
let str = String(data: data, encoding: .utf8)
print(str ?? "")
}
}
task.resume()
```
```dart Dart theme={null}
import 'package:http/http.dart' as http;
void main() async {
final headers = {
'Content-Type': 'application/json',
'x-api-key': 'your-api-key',
};
final data = '{"dataset":[{"type":"image","value":"https://jigsawstack.com/preview/classification-example-1.jpg"},{"type":"image","value":"https://jigsawstack.com/preview/classification-example-2.jpg"}],"labels":[{"type":"text","value":"hotdog"},{"type":"text","value":"not a hotdog"}]}';
final url = Uri.parse('https://api.jigsawstack.com/v1/classification');
final res = await http.post(url, headers: headers, body: data);
final status = res.statusCode;
if (status != 200) throw Exception('http.post error: statusCode= $status');
print(res.body);
}
```
```kotlin Kotlin theme={null}
import java.io.IOException
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.OkHttpClient
import okhttp3.Request
import okhttp3.RequestBody.Companion.toRequestBody
val client = OkHttpClient()
val MEDIA_TYPE = "application/json".toMediaType()
val requestBody = "{\"dataset\":[{\"type\":\"image\",\"value\":\"https://jigsawstack.com/preview/classification-example-1.jpg\"},{\"type\":\"image\",\"value\":\"https://jigsawstack.com/preview/classification-example-2.jpg\"}],\"labels\":[{\"type\":\"text\",\"value\":\"hotdog\"},{\"type\":\"text\",\"value\":\"not a hotdog\"}]}"
val request = Request.Builder()
.url("https://api.jigsawstack.com/v1/classification")
.post(requestBody.toRequestBody(MEDIA_TYPE))
.header("Content-Type", "application/json")
.header("x-api-key", "your-api-key")
.build()
client.newCall(request).execute().use { response ->
if (!response.isSuccessful) throw IOException("Unexpected code $response")
response.body!!.string()
}
```
```csharp C# theme={null}
using System.Net.Http.Headers;
using System.Net.Http.Json;
HttpClient client = new HttpClient();
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "https://api.jigsawstack.com/v1/classification");
request.Headers.Add("x-api-key", "your-api-key");
request.Content = JsonContent.Create(new
{
dataset = new List
```json Response theme={null}
{
"success": true,
"predictions": [
"not a hotdog",
"hotdog"
],
"_usage": {
"input_tokens": 69,
"output_tokens": 14,
"inference_time_tokens": 3942,
"total_tokens": 4025
}
}
```
# Errors
Source: https://jigsawstack.com/docs/api-reference/error
JigsawStack uses standard HTTP response codes to indicate the success or failure of an API request.
## Error Codes
* 2xx codes indicate success. For example, a 200 OK code indicates that the request was successful.
* 4xx codes indicate an error that was caused by the client. For example, a 400 Bad Request code indicates that the request was malformed.
* 5xx codes indicate an error that was caused by the server. For example, a 500 Internal Server Error code indicates that the server encountered an unexpected error.
| Code | Description |
| -------------------------- | ------------------------------------------------------------ |
| **200** - OK | The request was successful. |
| **400** - Bad Request | The request was malformed. |
| **401** - Unauthorized | No valid API key provided. |
| **403** - Forbidden | The API key doesn't have permissions to perform the request. |
| **404** - Not Found | The requested resource doesn't exist. |
| **405** - Method not found | The requested resource doesn't exist. |
| **500** - Server Error | The server encountered an unexpected error. |
# Handling Files
Source: https://jigsawstack.com/docs/api-reference/handling-files
Learn how to pass files to JigsawStack APIs.
There are many ways to pass files to JigsawStack APIs. This page will cover the most common methods, going from the easiest to the most complex.
## 1. Passing files through URLs
The easiest way to pass files to JigsawStack APIs is to pass in your file url. APIs that support file will always support `url` parameter.
Here are a few examples straight from our [API Reference](/docs/api-reference).
```javascript vocr_url.js theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const response = await jigsaw.vision.vocr({
"url": "https://jigsawstack.com/preview/vocr-example.jpg"
"prompt": [
"total_price",
"tax"
],
})
```
```python vocr_url.py theme={null}
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
response = jigsaw.vision.vocr({
"url": "https://jigsawstack.com/preview/vocr-example.jpg",
"prompt": [
"total_price",
"tax"
],
})
```
## 2. Passing the files using [File Store](/docs/api-reference/store/file/add)
The second way to pass files to JigsawStack APIs is to use the `file_store_key` parameter.
This is useful when you want to pass the same file to multiple APIs.
### Upload the File to JigsawStack File Store
```javascript file_upload.js theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({
apiKey: "your-api-key",
});
const imageFetch = await fetch("https://jigsawstack.com/preview/vocr-example.jpg");
const blob = await imageFetch.blob();
const response = await jigsaw.store.upload(blob, {
overwrite: true,
temp_public_url: true,
});
// Response:
// {'key': 'generated-file-store-key',
// 'size': 152856,
// 'temp_public_url': 'temp-public-url-to-the-file',
// 'url': 'url-to-the-file'
// }
```
```python file_upload.py theme={null}
import requests
from jigsawstack import JigsawStack
jigsaw = JigsawStack(api_key="your-api-key")
image_response = requests.get(
"https://jigsawstack.com/preview/vocr-example.jpg"
)
blob = image_response.content
response = jigsaw.store.upload(blob,
{
"overwrite": True,
"temp_public_url": True,
}
)
# Response:
# {'key': 'generated-file-store-key',
# 'size': 152856,
# 'temp_public_url': 'temp-public-url-to-the-file',
# 'url': 'url-to-the-file'
# }
```
### Then pass the `file_store_key` to your desired API
```javascript file_store_key.js theme={null}
const result = await jigsaw.vision.vocr({
file_store_key: "generated-file-store-key",
});
```
```python file_store_key.py theme={null}
result = jigsaw.vision.vocr({
"file_store_key": "generated-file-store-key",
});
```
You can access the preview link of the file by using the `temp_public_url`.
The `temp_public_url` is a temporary URL that will expire after 7 days.
## 3. Passing files directly
You can pass files directly to the API. This is useful if you dont want to encode the file as base64 or url.
```javascript vocr_direct.js theme={null}
import { JigsawStack } from "jigsawstack";
const jigsaw = JigsawStack({ apiKey: "your-api-key" });
const file = await fetch("https://jigsawstack.com/preview/vocr-example.jpg");
const fileBlob = await file.blob();
const response = await jigsaw.vision.vocr(fileBlob, {
prompt: ["total_price", "tax"],
});
```
```python vocr_direct.py theme={null}
from jigsawstack import JigsawStack
import requests
jigsaw = JigsawStack(
api_key=""
)
# Get the image from URL
image_url = "https://jigsawstack.com/preview/vocr-example.jpg"
image_response = requests.get(image_url)
imageblob = image_response.content
response = jigsaw.vision.vocr(
imageblob,
{"prompt": ["total_price", "tax"]},
)
print(response)
```
## 4. Passing files as multipart/form-data
By passing it as multipart/form-data, JigsawStack will handle the file encoding and pass the file to the API.
```curl curl_example.sh theme={null}
curl -X POST \
-H "x-api-key: your-api-key" \
-F "file=@/path/to/downloaded/image.jpg" \
-F "body={\"prompt\": [\"total_price\", \"tax\"]}" \
https://api.jigsawstack.com/v1/vocr
```
```javascript multipart_form_data.js theme={null}
const file = await fetch("/path/to/downloaded/image.jpg");
const body = {
prompt: ["total_price", "tax"],
}
const formData = new FormData();
formData.append("file", file);
formData.append("body", JSON.stringify(body));
const response = await fetch("https://api.jigsawstack.com/v1/vocr", {
method: "POST",
body: formData,
});
console.log(response);
```
```python multipart_form_data.py theme={null}
import requests
files = {
"file": open("/path/to/downloaded/image.jpg", "rb"),
}
data = {
"prompt": ["total_price", "tax"],
}
response = requests.post("https://api.jigsawstack.com/v1/vocr", files=files, data=data)
print(response.json())
```
# Create Prompt
Source: https://jigsawstack.com/docs/api-reference/prompt-engine/create
POST https://api.jigsawstack.com/v1/prompt_engine
Create a prompt for easy reuse.
🎉 **Exciting News!** We've enhanced Prompt Engine with powerful new capabilities. Meet [Interfaze](https://interfaze.ai) - our advanced LLM that takes your AI workflows to the next level, built for debvelopers, with improved performance
better organization, and enhanced features.
Name of the prompt engine. Maximum 300 characters.
The prompt. Maximum character limit is `500000`. Prompt supports dynamic
inputs. See example below.
The prompt inputs. See example below.
How the prompt result should be returned or formatted. See examples below
Include this to guard against unsafe inputs from users. Supported values:
Include this to optimize the prompt for best results. True by default.
Include this to allow prompt engine to use the internet.
## Sample Prompt Payload
* String `return_prompt`
```javascript theme={null}
{
prompt: "Tell me a story about {about}",
inputs: [
{
key: "about",
optional: false,
initial_value: "Leaning Tower of Pisa",
},
],
return_prompt: "Return the result in a markdown format",
"prompt_guard": ["sexual_content", "defamation"]
}
```
* `Array
The image generation API is depracated and no longer being maintained.
- `1:1`
- `16:9`
- `21:9`
- `3:2`
- `2:3`
- `4:5`
- `5:4`
- `3:4`
- `4:3`
- `9:16`
- `9:21`
- `url`
- `base64`
- `binary`
- `meta` - Extract page metadata (title, description, keywords, og\_image)
- `link` - Extract links detected on the page
- `load` - Wait until the load event is fired
- `domcontentloaded` - Wait until the DOMContentLoaded event is fired
- `networkidle0` - Wait until there are no network connections for at least 500ms
- `networkidle2` - Wait until there are no more than 2 network connections for at least 500ms
- `timeout` - Wait for a specified time
- `selector` - Wait for a specified CSS selector to appear
- `function` - Wait for a specified function to return true
- For `timeout`: Number of milliseconds to wait (maximum: 60000)
- For `selector`: CSS selector to wait for (e.g., "h2.title")
- For `function`: JavaScript function as a string (e.g., "() => document.querySelector('h2')")
- `QVGA` - 320×240
- `VGA` - 640×480
- `SVGA` - 800×600
- `HD` - 1280×720
- `HD+` - 1600×900
- `SXGA` - 1280×1024
- `FHD` - 1920×1080
- `2K` - 2048×1080
- `2K QHD` - 2560×1440
- `5K` - 5120×2880
- `4K UHD` - 3840×2160
- `processing` - The transcription job is queued successfully
- `error` - There was an issue with the transcription job
- `postgresql` - PostgreSQL database
- `mysql` - MySQL database
- `sqlite` - SQLite database
- `url`
- `base64`
- `binary`
- `defamation`
- `privacy`
- `hate`
- `sexual_content`
- `elections`
- `code_interpreter_abuse`
- `indiscrimate_weapons`
- `specialized_advice`