🎥 YouTube Video Summarizer

An AI-powered YouTube video summarizer built with Python, Streamlit, and Google Gemini. Paste a YouTube video URL and instantly get concise summaries in multiple formats.

✨ Features

• 📄 Summarize any YouTube video with transcripts enabled.

• 📝 Multiple summary styles:

  • Bullet Points
  • Time Stamped
  • Detailed Notes
  • Study Notes
  • ELI5
  • Blog Post

• 🧩 Automatic chunking for long videos.

• ⚡ Streamlit caching for faster repeated summaries.

• 📥 Download summaries as Markdown files.

• 🚨 Proper error handling for missing or disabled transcripts.

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🛠 Tech Stack

• Python
• Streamlit
• Google Gemini API
• youtube-transcript-api
• python-dotenv

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📂 Project Structure

yt_summarizer/
│
├── ui.py                 # Streamlit interface
├── summarizer.py         # Core summarization logic
├── requirements.txt
├── .env
├── .gitignore
├── README.md
└── TO_BE_IMPLEMENTED.md

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🚀 Installation

Clone the repository

git clone https://github.com/<your-username>/yt_summarizer.git
cd yt_summarizer

Create a virtual environment

python -m venv venv

Activate the environment:

Windows

venv\Scripts\activate

Linux / macOS

source venv/bin/activate

Install dependencies

pip install -r requirements.txt

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🔑 Environment Variables

Create a .env file:

GEMINI_API_KEY=your_api_key_here

Get a Gemini API key from Google AI Studio.

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▶ Running the App

streamlit run ui.py

Then open:

http://localhost:8501

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🎯 Supported Summary Styles

Style	Description
Bullet Points	Quick overview
Time Stamped	Topic-wise summary with timestamps
Detailed Notes	Detailed explanation
Study Notes	Revision-friendly notes
ELI5	Simplified explanation
Blog Post	Blog/article format

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📸 Example

Input

https://www.youtube.com/watch?v=xxxxxxxx

Output

# Summary

## Introduction
- Topic overview

## Main Concepts
- Key point 1
- Key point 2

## Conclusion
- Final takeaway

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Current Limitations

• Videos must have transcripts available.
• Videos with disabled transcripts are unsupported.
• Playlist summarization is not implemented yet.
• Only Markdown export is currently supported.

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Future Features

• Playlist summarization
• Chapter-wise summaries
• PDF and DOCX export
• Flashcard generation
• Quiz generation
• Learning roadmap
• Code snippet extraction
• Key takeaways
• Semantic search using embeddings
• Chat with videos (RAG)
• Timestamp search
• Video metadata display
• Video and audio download using yt-dlp

See TO_BE_IMPLEMENTED.md for the complete roadmap.

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Dependencies

streamlit
google-genai
youtube-transcript-api
python-dotenv

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License

This project is licensed under the MIT License.

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Author

Built with ❤️ using Python and Gemini.