Core AI

APIDescription
Sentiment AnalysisAnalyze text sentiment (positive, negative, neutral)
TranslationTranslate text between languages
SummaryGenerate concise text summaries
Time Series PredictionForecast future values based on historical data
Text to SQLConvert natural language to SQL queries
Image GenerationCreate images from text prompts
APIDescription
AI Web ScraperIntelligent web scraping with AI extraction
HTML to AnyConvert HTML to various formats
Web SearchAI-powered web search functionality

Language Models

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Prompt EngineBuild and optimize LLM prompts efficiently

Computer Vision

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vOCRExtract text from images
Object DetectionIdentify and locate objects in images

Audio Processing

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Speech to TextConvert spoken language to written text
Text to SpeechConvert text to natural-sounding speech

Content Validation

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NSFW DetectionDetect not safe for work content
Profanity CheckFilter inappropriate language
Spell CheckDetect and correct spelling errors
Spam CheckIdentify spam content

File Management

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File StorageStore and manage files in the cloud

Getting Started

// 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.

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