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Convert YouTube educational video to crisp PDF notes

Project description

🎬 Glimpsify: Extract PPT Slides from any Educational Video

A Video-to-PDF Frame Extraction Tool

❌ Watch an entire 34 minutes long lecture video on YouTube? Naah 👎
✅ Get PDF notes of screenshots of important parts of the video instead? Hell yessss! 👌

That's what Glimpsify does! 💻

You pass it YouTube link 🔗 of the lecture video 🎥 and it gives you the PDF notes 📑 of the key parts of the video. Yes with all the visuals - diagrams, charts, formulas - which no summarizer in the market gives!

See sample PDF:
https://drive.google.com/drive/folders/1XOIjQs7dnYCBK1dg3ZzK8PPhx09H58-f?usp=drive_link

Quick start

  1. Tesseract OCR must be installed on your system for text detection to work.
    • For Windows, download the installer from here and follow the installation instructions.
    • For macOS, you can install it using Homebrew:
      brew install tesseract
      
    • For Linux (Debian/Ubuntu), use the following command:
       sudo apt-get install tesseract-ocr
      
  2. Install the package
    • pip install ytvideo2pdf
  3. Run the CLI to get PDF notes
    • ytvideo2pdf --input=youtube --url="https://youtu.be/Z_MLrbI1s2E?si=ZrVBfIa0apzkuUKD"

📚 Perfect For:

  • Students: Creating last-minute revision PDFs from lecture videos
  • Educators: Extracting slide content from recorded presentations
  • Researchers: Analyzing visual content in educational materials
  • Professionals: Converting training videos to reference documents
  • Content Creators: Generating thumbnails and key moments

LinkedIn Posts

I actively post on LinkedIn about my project. You can find link to the posts here:

Extracting Most Information Frame

Pass a YouTube Video link and get the screenshots of the frame which has the most information content (like if someone is explaining with the help of a PPT, capture screenshot when all the text of one slide of PPT has animated in)

Frame with most information it can possibly have image

This frame can have more information and thus not the most information frame image

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