The media library management system for obsessive music geeks, automatically improving metadata and offering extensive manipulation tools.
Beets is a comprehensive media library management system specifically designed for users who demand meticulous organization and accurate metadata for their music collections. At its core, Beets catalogs your entire music library, leveraging powerful external databases like MusicBrainz to automatically fetch and improve metadata, ensuring consistency and accuracy across all your tracks and albums. This process includes everything from basic track information to album art, lyrics, genres, and even acoustic fingerprints.
Beyond basic cataloging, Beets offers a rich ecosystem of plugins that extend its functionality dramatically. Users can transcode audio files, detect and remove duplicate tracks, identify missing songs from albums, and even browse their library graphically through a web interface. Its design as a library means it's incredibly flexible, allowing for almost any imaginable manipulation or access method for your music. For those with programming knowledge, writing custom plugins in Python is straightforward, making Beets an endlessly adaptable tool for managing even the most complex music libraries.
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