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[](http://waffle.io/intel/libva)
[](https://travis-ci.org/intel/libva)
[](https://scan.coverity.com/projects/intel-libva)
# Libva Project
Libva is an implementation for VA-API (Video Acceleration API)
VA-API is an open-source library and API specification, which
provides access to graphics hardware acceleration capabilities
for video processing. It consists of a main library and
driver-specific acceleration backends for each supported hardware
vendor.
If you would like to contribute to libva, check our [Contributing
guide](https://github.com/intel/libva/blob/master/CONTRIBUTING.md).
We also recommend taking a look at the ['janitorial'
bugs](https://github.com/intel/libva/issues?q=is%3Aopen+is%3Aissue+label%3AJanitorial)
in our list of open issues as these bugs can be solved without an
extensive knowledge of libva.
We would love to help you start contributing!
Doxygen files are regularly updated through Github Pages and can
be accessed directly through [github pages
libva](http://intel.github.io/libva/)
The libva development team can be reached via our [mailing
list](https://lists.01.org/mailman/listinfo/intel-vaapi-media) and on IRC
in channel ##intel-media on [Freenode](https://freenode.net/kb/answer/chat).
We also use [#Slack](https://slack.com) and host [VAAPI Media Slack
Team](https://intel-media.slack.com). You can signup by submitting your email
address to our [Slack Team invite page](https://slack-join-intel-media.herokuapp.com).
Slack complements our other means of communication. Pick the one that works
best for you!
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