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kkroening/ffmpeg-python

10,995PythonAudience · developerComplexity · 2/5Setup · moderate

TLDR

A Python library that lets you write video and audio processing instructions as readable Python code instead of constructing complex FFmpeg command-line strings.

Mindmap

mindmap
  root((ffmpeg-python))
    What it does
      Python API for FFmpeg
      Signal graph support
      Command translation
    Operations
      Crop and trim
      Overlay images
      Merge streams
      Format convert
    Tech stack
      Python
      FFmpeg CLI
    Use cases
      Video automation
      Audio processing
      Frame extraction
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Things people build with this

USE CASE 1

Automate batch video conversions, trimming, and overlay operations using Python scripts instead of manual FFmpeg commands.

USE CASE 2

Build a signal processing pipeline where video or audio streams split, get transformed separately, and then rejoin.

USE CASE 3

Convert video frames into numerical arrays for use with data science or computer vision tools.

USE CASE 4

Create readable, maintainable code for complex multi-step video and audio processing workflows.

Tech stack

PythonFFmpeg

Getting it running

Difficulty · moderate Time to first run · 30min

Requires FFmpeg installed separately on your system and accessible from the terminal before this library works.

License not mentioned in the explanation.

In plain English

FFmpeg is a widely used program for working with video and audio files: converting formats, trimming clips, adding overlays, adjusting quality, and much more. Using it directly from the command line works fine for simple tasks, but the commands grow complicated fast once you start combining multiple operations. This library, ffmpeg-python, gives Python programmers a cleaner way to write those same instructions. Instead of constructing long, hard-to-read command strings, you call Python functions that describe what you want to happen. You might chain together an input file, a crop operation, an overlay, and an output file, all in readable Python code. The library then translates that chain into the correct FFmpeg command and runs it for you. This approach is especially useful when you need to build what FFmpeg calls a signal graph, where video or audio streams split, get processed separately, and then rejoin. The library does not include FFmpeg itself. You need to install FFmpeg separately on your machine and make sure it is accessible from your terminal before ffmpeg-python will work. Once that is in place, installing this library is a standard pip command. The README covers a range of practical examples: flipping a video horizontally, trimming specific time ranges, merging streams, adding an image overlay, and converting video frames into arrays for use with numerical computing tools. There is also support for applying any FFmpeg filter by name, even ones the library does not have a specific shorthand for, by using a general filter function. The project is suited for developers who already know Python and need to automate video or audio processing tasks without learning the full FFmpeg command-line syntax. It is not a graphical tool and does not simplify the underlying concepts, but it does make the code shorter, easier to read, and easier to maintain.

Copy-paste prompts

Prompt 1
Using ffmpeg-python, write a Python script that trims a video from 00:01:30 to 00:02:00 and adds a watermark image in the top-right corner.
Prompt 2
I need to merge a separate audio file with a silent video file using ffmpeg-python, show me the Python code.
Prompt 3
How do I use ffmpeg-python to extract all frames from a video as PNG images and load them into NumPy arrays?
Prompt 4
Write a Python function using ffmpeg-python that converts all MP4 files in a folder to WebM format.
Prompt 5
Show me how to apply a custom FFmpeg filter using ffmpeg-python's general filter function for a filter that has no built-in shorthand.
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