This idea struck in my mind when I faced difficulty getting an accurate frame for editing, so I decided to build one.
Here it is as a minimum viable product (MVP).

🎬 Video Frame Extractor

This project helps extract frames from videos (YouTube, Instagram, TikTok) using yt-dlp, scenedetect, and ffmpeg. It was built as a simple MVP to solve the difficulty of getting accurate frames for editing work. A useful tool for digital artists and video editors.

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🚀 Features

Feature	Description
Video Download	Downloads videos in up to 4K resolution
Scene Detection	Detects scene changes automatically
FPS Extraction	Extracts frames at fixed FPS (0.5, 1, 24, 30…)
Blur Removal	Optionally skips blurry frames
Output Format	Saves frames as a ZIP file for download

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📦 Installation

Install dependencies:

pip install -r requirements.txt

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⚡ Usage

Run inside Google Colab or locally:

# Example: Extract at 24 FPS
python extractor.py --url "https://youtube.com/watch?v=xxxx" --fps 24

Steps in Colab:

1. Upload cookies.txt if the video is restricted (18+, login required).
2. Enter the video link when prompted.
3. Frames will be saved in /frames and zipped for download.

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📂 Project Structure

video-frame-extractor/
│── extractor.ipynb     → Colab notebook
│── extractor.py        → Script version (optional)
│── requirements.txt    → Dependencies
│── README.md           → Project info
│── frames/             → Output frames

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🎨 Example Output

* Extracted frames in /frames
* Scene-based cutting ensures no missed details
* Works even on age-restricted content with cookies.txt

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you’d like to add.

Feel free to contribute.