beetsmusic library manager and MusicBrainz tagger

beets

Beets is a music library manager and MusicBrainz tagger that automatically catalogs and corrects your music collection's metadata. It combines intelligent tag correction with powerful tools for organizing, manipulating, and accessing your entire music library through a single system.

Key Features

• Automatic Metadata Correction: Intelligently matches and fixes music tags with high accuracy using MusicBrainz and other metadata sources
• Extensible Plugin System: Fetch album art, lyrics, genres, acoustic fingerprints, and ReplayGain levels, or write custom plugins in Python
• Multi-Source Metadata: Pull metadata from MusicBrainz, Discogs, and Beatport, or use filename patterns and acoustic fingerprints for guessing

Use Cases

• Music Collection Organization: Catalog and standardize your entire music library's metadata in one operation
• Duplicate Detection: Identify and manage duplicate tracks and albums, or find missing tracks in incomplete albums
• Audio Format Management: Transcode audio files to different formats and embed or extract album artwork

Who Is It For

Beets is designed for music enthusiasts and collectors who want complete control over their music library's metadata and organization. It's ideal for anyone using command-line tools or wanting to integrate music management into their workflow, with enough flexibility for both casual users and advanced automation needs.