A free and open source Python library designed to improve improve your music's metadata using information from the MusicBrainz database
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 using the MusicBrainz database. It then provides a bouquet of tools for manipulating and accessing your music.
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.
Detailed instructions on how to install and use the Beets utility on your Mac are available HERE.
Beets is a cross-platform utility capable of running on any operating system that comes with Python support (e.g. Mac OS X, Windows, Linux).
- Embed and extract album art from files' metadata.
- Listen to your library with a music player that speaks the MPD protocol and works with a staggering variety of interfaces.
- Fetch lyrics for all your songs from databases on the Web.
- Manage your MusicBrainz music collection.
- Analyze music files' metadata from the command line.
- Clean up crufty tags left behind by other, less-awesome tools.
- Browse your music library graphically through a Web browser and play it in any browser that supports HTML5 Audio.
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What's New in This Release:
- This release adds two new standard plugins to beets: one for synchronizing Last.fm listening data and one for integrating with Linux desktops. And at long last, imports can now create symbolic links to music files instead of copying or moving them. We also gained the ability to search for album art on the iTunes Store and a new way to compute ReplayGain levels.
- THE MAJOR NEW FEATURES ARE:
- A new lastimport lets you download your play count data from Last.fm into a flexible attribute. Thanks to Rafael Bodill.