kkroening /ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

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PythonCreated 2017-05-14
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README

ffmpeg-python: Python bindings for FFmpeg

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 Overview

There are tons of Python FFmpeg wrappers out there but they seem to lack complex filter support.  ffmpeg-python works well for simple as well as complex signal graphs.


 Quickstart

Flip a video horizontally:
python
import ffmpeg
stream = ffmpeg.input('input.mp4')
stream = ffmpeg.hflip(stream)
stream = ffmpeg.output(stream, 'output.mp4')
ffmpeg.run(stream)


Or if you prefer a fluent interface:
python
import ffmpeg
(
    ffmpeg
    .input('input.mp4')
    .hflip()
    .output('output.mp4')
    .run()
)


 API reference

 Complex filter graphs
FFmpeg is extremely powerful, but its command-line interface gets really complicated rather quickly - especially when working with signal graphs and doing anything more than trivial.

Take for example a signal graph that looks like this:

!Signal graph

The corresponding command-line arguments are pretty gnarly:
bash
ffmpeg -i input.mp4 -i overlay.png -filter_complex "[0]trim=start_frame=10:end_frame=20[v0];\
    [0]trim=start_frame=30:end_frame=40[v1];[v0][v1]concat=n=2[v2];[1]hflip[v3];\
    [v2][v3]overlay=eof_action=repeat[v4];[v4]drawbox=50:50:120:120:red:t=5[v5]"\
    -map [v5] output.mp4


Maybe this looks great to you, but if you're not an FFmpeg command-line expert, it probably looks alien.

If you're like me and find Python to be powerful and readable, it's easier with ffmpeg-python:
python
import ffmpeg

in_file = ffmpeg.input('input.mp4')
overlay_file = ffmpeg.input('overlay.png')
(
    ffmpeg
    .concat(
        in_file.trim(start_frame=10, end_frame=20),
        in_file.trim(start_frame=30, end_frame=40),
    )
    .overlay(overlay_file.hflip())
    .drawbox(50, 50, 120, 120, color='red', thickness=5)
    .output('out.mp4')
    .run()
)


ffmpeg-python takes care of running ffmpeg with the command-line arguments that correspond to the above filter diagram, in familiar Python terms.



Real-world signal graphs can get a heck of a lot more complex, but ffmpeg-python handles arbitrarily large (directed-acyclic) signal graphs.

 Installation

 Installing ffmpeg-python

The latest version of ffmpeg-python can be acquired via a typical pip install:

bash
pip install ffmpeg-python


Or the source can be cloned and installed from locally:
bash
git clone [email protected]:kkroening/ffmpeg-python.git
pip install -e ./ffmpeg-python


 Note: ffmpeg-python makes no attempt to download/install FFmpeg, as ffmpeg-python is merely a pure-Python wrapper - whereas FFmpeg installation is platform-dependent/environment-specific, and is thus the responsibility of the user, as described below.

 Installing FFmpeg

Before using ffmpeg-python, FFmpeg must be installed and accessible via the $PATH environment variable.

There are a variety of ways to install FFmpeg, such as the off

Snapshot: 2026-11-04T14:00:00Z · Data license Apache-2.0 · JSON