YouTube to Doc: Turn Videos into AI-Friendly Documentation

YouTube to Doc: Videos Become Documentation

Ever wanted to feed a YouTube tutorial into your AI coding assistant? YouTube to Doc transforms any YouTube video into structured, readable documentation that LLMs can easily parse. It extracts transcripts, metadata, descriptions, and even comments, turning video content into a format AI tools actually understand.

Perfect for developers who learn from video tutorials and want to reference them in their AI workflows.

Key Features

📺 Complete Video Processing

Extract comprehensive video information:

Video Metadata - Title, duration, view count, channel info, thumbnails
Full Transcripts - Automatic extraction in 9+ languages with timestamps
Descriptions - Complete video descriptions with links
Comments - Optional inclusion of top comments for additional context

🤖 AI-Optimized Output

Documentation is structured specifically for LLM consumption:

Clean, formatted text that’s easy to tokenize
Token count estimation using tiktoken
Structured sections for metadata, transcript, and comments
Perfect for feeding into Claude, GPT, or other AI coding assistants

⚡ Developer-Friendly

Built by developers, for developers:

RESTful API - Programmatic access for automation
Docker Ready - One-command deployment
Rate Limiting - Built-in protection with slowapi
Multi-Language - Supports English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, and Chinese

Platforms

YouTube to Doc runs anywhere Docker or Python works:

🐧 Linux
🍎 macOS
🪟 Windows

Get Started

Option 1: Docker (Recommended)

# Clone the repository
git clone https://github.com/Solomonkassa/Youtube-to-Doc.git
cd youtubedoc

# Run with Docker Compose
docker-compose up -d

Option 2: Local Installation

# Clone the repository
git clone https://github.com/Solomonkassa/Youtube-to-Doc.git
cd youtubedoc

# Install dependencies
pip install -r requirements.txt

# Run the application
uvicorn src.server.main:app --host 0.0.0.0 --port 8000 --reload

API Usage Example

import requests

url = "http://localhost:8000/"
data = {
    "input_text": "https://www.youtube.com/watch?v=VIDEO_ID",
    "max_transcript_length": 10000,
    "language": "en",
    "include_comments": False
}

response = requests.post(url, data=data)
print(response.text)

🔗 GitHub: github.com/Solomonkassa/Youtube-to-Doc

Why This Tool Rocks

Bridge Video & AI: Finally make YouTube tutorials accessible to your AI coding tools
Multi-Language Support: Process videos in 9+ languages automatically
Self-Hosted: Run it locally or on your own server-your data, your control
Cloud-Ready: Docker deployment makes it easy to run on any cloud provider
Open Source: MIT licensed-fork it, extend it, make it yours

Crepi il lupo! 🐺