🎞️ LectureCapture

Automatically extract meaningful lecture slides from YouTube videos using AI and generate a clean PDF.
Save time, skip screenshots, and get organized notes with a single click.

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📌 Features

• 🎥 Download lectures directly from YouTube
• 🧠 Detect and extract unique slides using deep frame comparison
• 🔍 Integrated OCR for reading slide content
• 📄 Auto-generate a clean PDF of extracted slides
• 🖼️ GUI built with Tkinter
• 📊 Progress bar with real-time updates
• 🧵 Threaded download & extraction (non-blocking)

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🧰 Built With

📂 Project Structure

LectureCapture/
│
├── slide_extractor.py       # Core logic for detecting unique slides
├── app.py                   # Tkinter GUI interface
├── requirements.txt         # All dependencies
├── output/                  # Folder for storing extracted slides and final PDF
└── README.md

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⚙️ Setup Instructions

1. Clone or download the repository to your local machine:

   git clone https://github.com/divA2805/LectureCapture.git
   cd LectureCapture

2. Make sure the slide_extractor.py file is in the same directory as app.py or correctly referenced.

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🚀 Getting Started

1️⃣ Install Dependencies

Make sure you have Python ≥ 3.8 installed.

pip install -r requirements.txt

Also, install Tesseract OCR:

• Windows: Tesseract Installer
• Ubuntu:

sudo apt install tesseract-ocr

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2️⃣ Run the App

python app.py

A GUI will open where you can:

• Paste the YouTube link
• Choose a download location
• Click "Start" to begin download, slide extraction, and PDF generation

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🧠 How It Works

• The video is downloaded using yt-dlp
• Frames are sampled at intervals
• Similar or duplicate frames are removed using OpenCV comparison
• OCR reads any visible slide text (optional, for enhancements)
• Final slides are compiled into a professional PDF using ReportLab

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📸 Sample Output

✅ Clean slides PDF from a 1-hour technical lecture in under 2 minutes
📁 Slides saved in output/ with timestamped filenames
🧾 Final PDF available for download

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🙋‍♂️ Author

Made with ❤️

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