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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.