I've often needed the same thing and as far as I know, there is no good solution with bindings in Python.

Also it is not as simple as it may seem to manipulate frames of a video file. A modern file format for video does not store the frames one frame after the other but instead uses "delta frames", in which only the changes from one frame to the other is stored. Other considerations such as video with variable frame rate makes the problem even harder.

In the past I've used the following command to generate images from video.

ffmpeg -i /path/to/file.mpg -an -r 30 -s 320x240 tmp%06d.jpg

Where 30 is the target frame rate, 320x240 the image dimension and tmp%06d.jpg the pattern to use to store the generated jpegs. Then you can use PIL to manipulate each frame and mencoder or ffmpeg to stich the images back again into a movie:

ffmpeg -r 30 -i tmp%06d.jpg output.mpg

Obviously, you'll lose the audio track.

Answer from Changed My Name Again on Stack Overflow
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Cloudinary
cloudinary.com › home › python video processing: 6 useful libraries and a quick tutorial
Python Video Processing: 6 Useful Libraries and a Quick Tutorial | Cloudinary
April 26, 2026 - OpenCV (Open Source Computer Vision Library) is a powerful, open-source computer vision and machine learning library that facilitates image and video processing. Widely used by developers and researchers, OpenCV provides extensive tools and ...
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Neuronimbus
neuronimbus.com › blog › from-pixels-to-performance-exploring-the-best-python-libraries-for-video-display
Top Python UI & Video Libraries for Stunning Apps
Its GPU acceleration and seamless ... an interface designed using one of the top best looking Python UI libraries, such as Tkinter or Kivy....
Discussions

A python library for processing/editing videos?
Besides the libraries that were mentioned, ffmpeg is the (sort of) only stuff used to render videos or getting all frames from video that runs under the hood of almost every video editor program with very few exceptions (usually paid software). That being said, if you want to do things from grounds up, you have the option to edit images with python and render (and get the frames to begin with) using ffmpeg. By no means I'm saying this is the most sane or even the correct solution. It is just for fun and to shower you with another option to juggle (yes, I'm evil!, hahaha!) More on reddit.com
🌐 r/learnpython
4
9
July 8, 2023
What's a good Python library to manipulate frames of a video file? - Stack Overflow
I'm looking for a Python video processing library, similar to PIL, where I can iterate through all the frames of a source video, access the pixel data for each frame, draw onto each frame and save ... More on stackoverflow.com
🌐 stackoverflow.com
Python Mode for Processing

I recommend pyprocessing instead. It isn't as complete in functionality, but you don't need java or the Processing environment. It's OpenGL and Pyglet based (so multi platform).

https://code.google.com/p/pyprocessing/

More on reddit.com
🌐 r/Python
21
60
June 13, 2015
I wrote a lightweight Python library for GPU-accelerated Image & Video Processing
It’s unclear to me what the difference between this and opencv. Is it primarily convenience wrappers or are there appreciable extensions? More on reddit.com
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December 13, 2020
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GitHub
github.com › Zulko › moviepy
GitHub - Zulko/moviepy: Video editing with Python · GitHub
MoviePy (online documentation here) is a Python library for video editing: cuts, concatenations, title insertions, video compositing (a.k.a. non-linear editing), video processing, and creation of custom effects.
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PyPI
pypi.org › project › moviepy
moviepy · PyPI
MoviePy (online documentation here) is a Python library for video editing: cuts, concatenations, title insertions, video compositing (a.k.a. non-linear editing), video processing, and creation of custom effects.
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GitHub
github.com › rezoo › movis
GitHub - rezoo/movis: Python library for video editing, presentation video generation, motion graphics, shader art coding, and other video production tasks · GitHub
Python library for video editing, presentation video generation, motion graphics, shader art coding, and other video production tasks - rezoo/movis
Top answer
1 of 5
9

I've often needed the same thing and as far as I know, there is no good solution with bindings in Python.

Also it is not as simple as it may seem to manipulate frames of a video file. A modern file format for video does not store the frames one frame after the other but instead uses "delta frames", in which only the changes from one frame to the other is stored. Other considerations such as video with variable frame rate makes the problem even harder.

In the past I've used the following command to generate images from video.

ffmpeg -i /path/to/file.mpg -an -r 30 -s 320x240 tmp%06d.jpg

Where 30 is the target frame rate, 320x240 the image dimension and tmp%06d.jpg the pattern to use to store the generated jpegs. Then you can use PIL to manipulate each frame and mencoder or ffmpeg to stich the images back again into a movie:

ffmpeg -r 30 -i tmp%06d.jpg output.mpg

Obviously, you'll lose the audio track.

2 of 5
3

I recommend scikit-video for you which is the most straightforward python video processing library I have ever met.

This is the official introduction to scikit-video from its project website:

Scikit-video is designed for easy video processing using Python. It is modeled in the spirit of other successful scikits such as scikit-learn and scikit-image. The developers of scikit-video know libraries exist for manipulating videos, such as PyFFmpeg, MoviePy, PyAV, imageIO, and opencv. However, no libraries have been found to provide an all-in-one solution for research-level video processing tools.

Find elsewhere
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Kaggle
kaggle.com › general › 546394
Simple, Powerful, Flexible and threaded Python Video processing library | Vidgear package 🔥 | Kaggle
VidGear is a versatile Python video-processing library offering high-performance, multi-threaded APIs for capturing, processing, streaming, and writing video with robust error-handling and real-time efficiency.
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PyPI
pypi.org › project › vidgear
vidgear · PyPI
Tags OpenCV , multithreading , FFmpeg , picamera , starlette , mss , pyzmq , dxcam , aiortc , uvicorn , uvloop , yt-dlp , asyncio , dash , hls , Video Processing , Video Stabilization , Computer Vision , Video Streaming , raspberrypi , YouTube , Twitch , WebRTC ... VidGear provides an easy-to-use, highly extensible, thoroughly optimised Multi-Threaded + Asyncio API Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera2, starlette, yt_dlp, pyscreenshot, dxcam, aiortc and python-mss serving at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance 🔥.
      » pip install vidgear
    
Published: Nov 12, 2025
Version: 0.3.4
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D-Lab
dlab.berkeley.edu › news › processing-videos-python-opencv
Processing Videos in Python with OpenCV | D-Lab
November 28, 2023 - OpenCV, or Open Source Computer Vision Library, is an open source library for computer vision. It can be used in other programming languages, and we will focus on opencv-python, the OpenCV package for Python. This package can easily be installed using pip. More detailed instructions for ...
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GitHub
github.com › abhiTronix › vidgear
GitHub - abhiTronix/vidgear: A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire: · GitHub
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire: - abhiTronix/vidgear
Author: abhiTronix
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Medium
medium.com › @tnsaeasefa08 › how-to-use-python-for-video-processing-cd4ebdbce66b
How to use Python for video processing | by Tnsae Nebyou Asefa | Medium
April 7, 2023 - Python provides several libraries for video processing, including OpenCV, moviepy, and PyAV. These libraries allow developers to read…
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Medium
medium.com › @kapildevkhatik2 › advanced-image-and-video-processing-techniques-using-python-549fb1cf224e
Advanced Image and Video Processing Techniques using Python | Computer Vision & Deep Learning Applications | Medium
March 11, 2023 - OpenCV: OpenCV (Open Source Computer Vision Library) is a widely used library for computer vision applications. It has a large number of functions for image and video processing tasks, such as reading and writing images and videos, transforming images, detecting and tracking objects, and more. OpenCV supports a variety of programming languages, including Python, and is compatible with many operating systems.
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Bruno C. Vellutini
brunovellutini.com › posts › native-video-processing-python
Native video processing in Python - Bruno C. Vellutini
March 6, 2025 - python-ffmpeg: Similar library (confusing name) but newer and actively maintained. Promising but with fewer methods and a smaller community. vidgear: Actively maintained, large community, and packed with features. Too many for the Cifonauta’s use case. And it’s still a wrapper for FFmpeg. moviepy: Still maintained, but seems more focused on video editing and manipulation than video processing (scaling/converting formats).
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NVIDIA Developer
developer.nvidia.com › blog › vpf-hardware-accelerated-video-processing-framework-in-python
VPF: Hardware-Accelerated Video Processing Framework in Python | NVIDIA Technical Blog
August 21, 2022 - VPF is a set of C++ libraries and Python bindings which provides full hardware acceleration for video processing tasks such as decoding, encoding, transcoding and GPU-accelerated color space and pixel format conversions.
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Python Central
pythoncentral.io › the-top-3-python-libraries-developers-can-use-for-video-editing
The Top 3 Python Libraries Developers Can Use for Video Editing
September 23, 2022 - The VidGear library is well-known for its lightness and ease of use. Programmers can quickly and easily complete the complex task of video processing in just a few steps by filling in the desired line of code.
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GitHub
github.com › NVIDIA › VideoProcessingFramework
GitHub - NVIDIA/VideoProcessingFramework: Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions · GitHub
June 10, 2024 - Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions - NVIDIA/VideoProcessingFramework
Starred by 1.4K users
Forked by 236 users
Languages: C++ 85.7% | Python 9.2% | CMake 2.2% | C 2.0% | Cuda 0.6% | Makefile 0.2% | Dockerfile 0.1%
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GitHub
github.com › topics › video-processing
video-processing · GitHub Topics · GitHub
video-processing speech-recognition chinese speech-to-text transcription gradio video-editing asr content-creation video-transcription subtitles-generator ai-tools video-subtitles llm paraformer funasr ai-video-editing auto-subtitles whisper-alternative funclip ... Remove visible and invisible AI watermarks and provenance metadata from images and video. Python library ...
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Funvisiontutorials
funvisiontutorials.com › home › essential python libraries for computer vision and video processing
Funvision opencv C++ tutorials: Essential Python Libraries for Computer Vision and Video Processing
FFmpeg-Python – A wrapper for FFmpeg, enabling video transcoding, streaming, and processing through Python scripting. MediaPipe – A framework for real-time perception AI, supporting hand tracking, face detection, and pose estimation. Pillow – A Python Imaging Library (PIL) fork that provides image opening, manipulation, and conversion capabilities.
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Awesomeopensource
awesomeopensource.com › projects › video-processing
The Top 10 Video Processing Open Source Projects
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire: