MoodCutter is an open-source Python project that automatically detects and extracts funny and sad moments from videos. The goal is to make emotional video clipping effortless and accessible for content creators, researchers, or anyone who wants to analyze video emotions.
- Detect laughter in videos (funny moments)
- Crop video segments automatically
- Command-line interface (CLI)
- Modular structure for easy extension
- Clone the repository:
git clone https://github.com/axtheon/MoodCutter.git
cd MoodCutter- Install dependencies:
pip install -r requirements.txtRun the main module:
python src/main.py --input examples/sample_input.mp4 --mode funnyOptions:
--input: Path to your video file--mode:funny(v0.1 MVP). Future versions will supportsadand other emotions.
This project is open-source and available under the MIT License.
- Add sad moment detection
- Support multiple emotion types
- GUI interface
- Batch processing support
- Export to multiple formats
Made with ❤️ for content creators and video enthusiasts