The team brings you another container release featuring :-
  • regular and timely application updates
  • easy user mappings (PGID, PUID)
  • custom base image with s6 overlay
  • weekly base OS updates with common layers across the entire ecosystem to minimise space usage, down time and bandwidth
  • regular security updates
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  • Blog - all the things you can do with our containers including How-To guides, opinions and much more!
  • Discord - realtime support / chat with the community and the team.
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  • Podcast - on hiatus. Coming back soon (late 2018).
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FFmpeg - A complete, cross-platform solution to record, convert and stream audio and video.

Supported Architectures

We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.
Simply pulling should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
The architectures supported by this image are:
amd64-<version tag>
arm64v8-<version tag>
arm32v7-<version tag>


Unlike most of our container library this image is meant to be run ephemerally from the command line parsing user input for a custom FFmpeg command. You will need to understand some Docker basics to use this image and be familiar with how to construct an FFmpeg command. In the commands below we will be bind mounting our current working directory from the CLI to /config, the assumption is that input.mkv is in your current working directory.
If an input file is detected we will run FFmpeg as that user/group so the output file will match it's permissions. The image supports Hardware acceleration on x86 pay close attention to the variables for the examples below.

Basic Transcode

docker run --rm -it \
-v $(pwd):/config \
linuxserver/ffmpeg \
-i /config/input.mkv \
-c:v libx264 \
-b:v 4M \
-vf scale=1280:720 \
-c:a copy \

Hardware accelerated (VAAPI)

docker run --rm -it \
--device=/dev/dri:/dev/dri \
-v $(pwd):/config \
linuxserver/ffmpeg \
-vaapi_device /dev/dri/renderD128 \
-i /config/input.mkv \
-c:v h264_vaapi \
-b:v 4M \
-vf 'format=nv12|vaapi,hwupload,scale_vaapi=w=1280:h=720' \
-c:a copy \

Nvidia Hardware accelerated

docker run --rm -it \
--runtime=nvidia \
-v $(pwd):/config \
linuxserver/ffmpeg \
-hwaccel nvdec \
-i /config/input.mkv \
-c:v h264_nvenc \
-b:v 4M \
-vf scale=1280:720 \
-c:a copy \

Building locally

If you want to make local modifications to these images for development purposes or just to customize the logic:
git clone
cd docker-ffmpeg
docker build \
--no-cache \
--pull \
-t linuxserver/ffmpeg:latest .
The ARM variants can be built on x86_64 hardware using multiarch/qemu-user-static
docker run --rm --privileged multiarch/qemu-user-static:register --reset
Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.


  • 14.12.22: - Rebase to Jammy, bump to 5.1.2.
  • 19.06.22: - Rebase to Focal.
  • 26.08.21: - Add support for libOpenCL.
  • 01.07.21: - Bump to 4.4.
  • 17.06.20: - Bump to 4.3.
  • 16.06.20: - Add support for libvmaf.
  • 01.08.19: - Initial release.