music library manager and MusicBrainz tagger

.. image::

.. image::

.. image::

Beets is the media library management system for obsessive-compulsive music

The purpose of beets is to get your music collection right once and for all.
It catalogs your collection, automatically improving its metadata as it goes.
It then provides a bouquet of tools for manipulating and accessing your music.

Here's an example of beets' brainy tag corrector doing its thing::

$ beet import ~/music/ladytron
Ladytron - Witching Hour
(Similarity: 98.4%)
* Last One Standing -> The Last One Standing
* Beauty -> Beauty*2
* White Light Generation -> Whitelightgenerator
* All the Way -> All the Way...

Because beets is designed as a library, it can do almost anything you can
imagine for your music collection. Via plugins_, beets becomes a panacea:

  • Fetch or calculate all the metadata you could possibly need: album art,
    , genres, tempos, ReplayGainlevels, or acoustic fingerprints.
  • Get metadata from MusicBrainz, Discogs, and Beatport_. Or guess
    metadata using songs' filenames or their acoustic fingerprints.
  • Transcode audio_ to any format you like.
  • Check your library for duplicate tracks and albumsor for albums that are missing tracks.
  • Clean up crufty tags left behind by other, less-awesome tools.
  • Embed and extract album art from files' metadata.
  • Browse your music library graphically through a Web browser and play it in any
    browser that supports HTML5 Audio_.
  • Analyze music files' metadata from the command line.
  • Listen to your library with a music player that speaks the MPD_ protocol
    and works with a staggering variety of interfaces.

If beets doesn't do what you want yet, writing your own plugin_ is
shockingly simple if you know a little Python.

.. _plugins:
.. _MPD:
.. _MusicBrainz music collection:
.. _writing your own plugin:
.. _HTML5 Audio:
.. _albums that are missing tracks:
.. _duplicate tracks and albums:
.. _Transcode audio:
.. _Discogs:
.. _acoustic fingerprints:
.. _ReplayGain:
.. _tempos:
.. _genres:
.. _album art:
.. _lyrics:
.. _MusicBrainz:
.. _Beatport:

Read More

Learn more about beets at its Web site. Follow @b33ts on Twitter for
news and updates.

You can install beets by typing pip install beets. Then check out the
Getting Started_ guide.

.. its Web site:
.. _Getting Started:


Beets is by Adrian Sampsonwith a supporting cast of thousands. For help,
please contact the mailing list

.. _mailing list:!forum/beets-users
.. _Adrian Sampson: