Youtube-video-analyzer

A sophisticated Node.js application that analyzes YouTube videos for legal compliance by transcribing audio content and comparing it against predefined legal rules.

Core Features

• YouTube video audio extraction and processing
• Speech-to-text transcription using Deepgram API
• Legal rules extraction from regulatory articles
• Automated compliance analysis using GPT-4
• Multi-language support (optimized for Czech)
• Token cost tracking and optimization

Technical Stack

• Runtime: Node.js
• Language: TypeScript
• APIs:
  • OpenAI GPT-4
  • Deepgram Speech-to-Text
  • YouTube Data API

Key Components

1. Video Processing Pipeline

   • Downloads YouTube videos as audio files
   • Supports chunked processing for large files
   • Handles multi-speaker transcription

2. Transcription Engine

   • Uses Deepgram's Nova-2 model
   • Provides paragraph segmentation
   • Speaker diarization
   • Punctuation and formatting

3. Legal Analysis System

   • Extracts rules from regulatory documents
   • Performs compliance checking
   • Generates detailed violation reports

Environment Setup

Required environment variables:

OPENAI_API_KEY=your_openai_key
DEEPGRAM_API_KEY=your_deepgram_key

Usage

const videoUrls = [
    "https://www.youtube.com/watch?v=example1",
    "https://www.youtube.com/watch?v=example2"
];
const articleUrl = "https://regulatory-article-url";

await main(videoUrls, articleUrl);

Contributing

• Fork the repository
• Create your feature branch (git checkout -b feature/AmazingFeature)
• Commit your changes (git commit -m 'Add some AmazingFeature')
• Push to the branch (git push origin feature/AmazingFeature)
• Open a Pull Request

License

This project is licensed under the LICENSE - see the LICENSE file for details.