Moviepy
Edit and generate video clips with MoviePy, a Python library documented in its GitHub repository.
About Moviepy
MoviePy is a Python library for video editing, including cuts, concatenations, title insertions, compositing, video processing and creation of custom effects. It reads and writes common audio and video formats including GIF, runs on Windows/Mac/Linux with Python 3.9+, and installs with pip install moviepy.
It converts video frames, images and sounds into numpy arrays for pixel-level access, supports combining clips side by side or overlaid with transparency, and encodes results to mp4, webm, gif and other formats. Version 2.0 introduced breaking changes and version 1 is no longer maintained, and processing is slower than using ffmpeg directly due to data import and export operations.
Key features
- Cut video files into subclips by start and end times
- Concatenate clips and display clips side by side
- Overlay clips with transparency and insert text titles
- Read and write common audio, video formats including GIF
- Convert frames and sounds to numpy arrays for editing
- Encode finished clips to mp4, webm, gif and other formats
Best for: Python users who want to edit video programmatically.
Good for
- Reads and writes common audio and video formats including GIF
- Converts media to numpy arrays for pixel-level custom effects
- Open-source under MIT licence and hosted on GitHub
Watch out for
- Slower than using ffmpeg directly due to heavier data import/export operations
- Version 2.0 introduced major breaking changes and v1 is no longer maintained
Moviepy at a glance
- Website
- github.com/Zulko/moviepy
- Category
- Design & Creative › Video Editing & Animation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Linux, Windows
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Video Editing & Animation
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Moviepy FAQ
How do I install MoviePy?
Install with pip install moviepy. For development, clone the repository locally and install with pip install -e .
What systems and Python versions are required?
It runs on Windows/Mac/Linux with Python 3.9+.
Is code written for v1 compatible with v2?
No. Version 2.0 introduced major breaking changes and v1 is no longer maintained. A guide explains how to update code from v1 to v2.
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