YouTube Video Summarizer (Using NLP)
Table of contents
🎬 YouTube Video Summarizer
A web application that extracts and summarizes the automatic subtitles from any public YouTube video using powerful NLP techniques like TF-IDF, Word Frequency, and SpaCy. Built with Flask, it provides an elegant interface to choose summarization methods and download the result.
🚀 Features
- 🎥 Extracts subtitles directly from YouTube video links
- 🧠 Provides 3 summarization methods:
- TF-IDF Based
- Word Frequency Based
- SpaCy-Based
- 📋 Displays clean and readable summaries
- 💾 Allows downloading summaries as
.txt - 🎨 Beautiful UI with glassmorphism + gradients
- 📱 Mobile responsive design
- 🔄 Loading spinner during processing
🛠️ Tech Stack
| Frontend | Backend | NLP Libraries |
|---|---|---|
| HTML5 + CSS3 | Flask (Python) | spaCy, scikit-learn, numpy |
| yt_dlp | pandas |
📦 Installation
-
Clone the repository
git clone https://github.com/swalhasakeer/YouTube-Video-Summarizer.git cd YouTube-Video-Summarizer -
Create a virtual environment (optional but recommended)
python -m venv env source env/bin/activate # For Linux/macOS env\Scripts\activate # For Windows
- Install dependencies
pip install -r requirements.txt
- Download spaCy model
python -m spacy download en_core_web_sm
▶️ Usage
- Start the Flask server
python app.py
- Open in browser
Navigate to: http://localhost:5000
- Paste a YouTube URL, choose a summarization method, and click "Generate Summary".
📸 Demo Preview
▶️ Run the Container
docker run -p 5000:5000 youtube-video-extractor
Visit http://localhost:5000 in your browser.