YouTube Transcript Analyzer

A modern web application that analyzes YouTube playlist content using AI. Extract transcripts, generate summaries, and get AI-powered insights to quickly determine if videos are worth watching.

Features

• 🎬 Playlist Processing: Analyze entire YouTube playlists with one click
• 🤖 AI Analysis: Generate summaries, key takeaways, and topic classifications
• 📝 Content Evaluation: Get "worth watching" verdicts with justifications
• 📊 Structured Insights: Understand video organization and key points
• 🏷️ Smart Categorization: Reliable category tagging with JSON-based AI responses
• 📱 Responsive Design: Modern interface that works on all devices

Screenshots

Tech Stack

Frontend: React, TypeScript, Vite, React Router, Axios, React Markdown
Backend: FastAPI, SQLAlchemy, SQLite, YouTube API, Gemini AI

Quick Setup

Prerequisites

• Node.js 22+ and npm
• Python 3.13+ with uv
• Google Cloud Project with YouTube Data API
• Gemini API key

Backend Setup

cd backend
uv sync
# Create client_secrets.json and .env files (see backend README)
python authenticate_youtube.py
uvicorn app.main:app --reload

Frontend Setup

cd frontend
npm install
npm run dev

Access the app at http://localhost:5173

Project Structure

.
├── frontend/             # React frontend
├── backend/              # FastAPI backend
│   ├── app/              # Application code
│   ├── authenticate_youtube.py  # YouTube auth script
│   └── token.pickle      # Generated auth token
└── screenshots/          # Application screenshots

Key Features Explained

AI-Powered Analysis

The application uses Google's Gemini AI to analyze video transcripts and generate structured insights:

• JSON-Based Responses: AI outputs are structured as JSON for reliable parsing and consistent results
• Smart Category Extraction: Multiple fallback systems ensure videos always have relevant categories
• Markdown Support: All AI-generated content is rendered with full Markdown formatting

Real-Time Processing

• Processing status updates in real-time
• Videos are automatically refreshed when analysis completes
• Progress indicators show exactly what's happening

Documentation

For detailed setup instructions and development guides:

• Frontend Documentation
• Backend Documentation

Troubleshooting

• YouTube Authentication Issues: Delete token.pickle and run python authenticate_youtube.py again
• CORS Errors: Ensure both frontend and backend servers are running
• Missing Analysis: Check your Gemini API key and quota limits

License

MIT