🎬 YouTube Summarizer

Instantly summarize any YouTube video using AI — get the key points in seconds, not hours.

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📌 About

YouTube Summarizer is an AI-powered tool that takes any YouTube video URL and generates a clean, concise summary of its content. Whether it's a 3-hour lecture, a podcast, or a tutorial — get the gist in seconds.

No more scrubbing through long videos. Just paste the link and let AI do the work.

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✨ Features

• 🔗 Paste any YouTube URL — works with videos of any length
• 🤖 AI-generated summaries — powered by LLM (OpenAI / Gemini / custom)
• 📝 Key points extraction — highlights the most important takeaways
• ⚡ Fast & lightweight — minimal dependencies, quick results
• 🌐 Transcript-based — uses YouTube transcripts/captions for accuracy
• 💾 Export support — save summaries as .txt or .md

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🚀 Demo

Input:   https://www.youtube.com/watch?v=example123
Output:  📄 Summary generated in 3.2s

         🎯 Key Points:
         • The video covers the basics of machine learning...
         • It explains supervised vs unsupervised learning...
         • Key takeaway: Start with clean data before building models.

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🛠️ Tech Stack

Layer	Technology
Language	Python 3.9+
Transcript Fetching	youtube-transcript-api
AI Summarization	OpenAI GPT / Google Gemini
CLI Interface	argparse
(Optional) Web UI	Streamlit / Flask

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⚙️ Installation

1. Clone the repository

git clone https://github.com/your-username/youtube-summarizer.git
cd youtube-summarizer

2. Install dependencies

pip install -r requirements.txt

3. Set up your API key

Create a .env file in the root directory:

OPENAI_API_KEY=your_openai_api_key_here
# or
GEMINI_API_KEY=your_gemini_api_key_here

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💻 Usage

Command Line

python summarizer.py --url "https://www.youtube.com/watch?v=example"

With options

# Save output to a file
python summarizer.py --url "https://www.youtube.com/watch?v=example" --output summary.md

# Set summary length (short / medium / detailed)
python summarizer.py --url "https://www.youtube.com/watch?v=example" --length detailed

As a Python module

from summarizer import YouTubeSummarizer

summarizer = YouTubeSummarizer()
result = summarizer.summarize("https://www.youtube.com/watch?v=example")
print(result)

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📁 Project Structure

youtube-summarizer/
├── summarizer.py        # Main summarizer logic
├── transcript.py        # YouTube transcript fetching
├── ai_model.py          # AI API integration
├── requirements.txt     # Python dependencies
├── .env.example         # Environment variable template
├── outputs/             # Saved summaries (auto-created)
└── README.md

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📦 Requirements

youtube-transcript-api
openai
python-dotenv
argparse

Install all at once:

pip install -r requirements.txt

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the project is still in progress,until then stay tuned...