ffmpeg-python/README.md

ffmpeg-python: Python bindings for FFmpeg

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:

import ffmpeg
ffmpeg \
    .input('input.mp4') \
    .hflip() \
    .output('output.mp4') \
    .run()

Or if you prefer a non-fluent interface:

import ffmpeg
in = ffmpeg.input('input.mp4')
flipped = ffmpeg.hflip(in)
out = ffmpeg.output(flipped)
ffmpeg.run(out)

Complex filter graphs

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

Take for example a signal graph that looks like this:

The corresponding command-line arguments are pretty gnarly:

ffmpeg -i input.mp4 \
    -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 pretty alien.

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

import ffmpeg

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

ffmpeg-python takes care of running ffmpeg with the command-line arguments that correspond to the above filter diagram, and it's easy to what's going on and make changes as needed.

Real-world signal graphs can get a heck of a lot more complex, but ffmpeg-python handles them with ease.

API Reference