🎥 Extract Slides from Any YouTube Video using AI (CLIP) + PDF Export — Notebook Included

Want to turn a YouTube lecture or presentation into a clean, high-quality PDF of slides?

This free AI-powered notebook uses OpenAI’s CLIP model to scan any YouTube video, detect slide-like frames, and generate a professional PDF — all in one click.

Whether you’re a student, researcher, or content creator, this tool saves you HOURS of manual screenshotting and slide cleaning.

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📦 What You’ll Get

✅ A fully-commented, beginner-friendly Python notebook

✅ Step-by-step guide to:

- Download YouTube videos

- Detect slide frames using CLIP (AI)

- Remove duplicate slides

- Export all slides to a neat PDF

✅ Easy to run on Google Colab or Jupyter Notebook

✅ Completely free — optional donation if you find it useful

💡 Use Cases

- Save slides from recorded university lectures

- Turn AI or tech conference videos into offline PDFs

- Build slide summaries from tutorials, keynotes, or explainer videos

- Learn how to use CLIP for real-world visual detection projects

🎓 Who Is This For?

- Data science & AI learners

- Students who attend video lectures

- Researchers creating study material

- Educators who want to extract teaching visuals

- Python developers exploring CLIP or video processing

🚀 How to Use

1. Open the .ipynb file in Google Colab or your Jupyter environment

2. Paste any YouTube video link

3. Run the cells step-by-step

4. Get your clean, deduplicated PDF of all slides 🎉

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🙏 Support This Project

This notebook is 100% free and open for everyone. If you found it helpful, feel free to support my work with an optional donation 🙌

Let’s make AI learning accessible for all.

Made with ❤️ by [@datageekrj](https://www.youtube.com/@datageekrj)