MusicBrainz Picard

The official MusicBrainz tagger, which identifies music by its audio fingerprint and fills in the tags.

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About MusicBrainz Picard

Picard works album by album rather than file by file, which is what lets it use the MusicBrainz database properly: it matches a folder of files against a specific release, then writes consistent tags, track numbers and cover art for the whole thing.

When the metadata is missing or wrong it can identify files by AcoustID audio fingerprints, matching the actual sound rather than the filename. It handles MP3, FLAC, Ogg, M4A, WMA and WAV among others, supports CD lookups, and has a scripting language for naming and organising files exactly the way you want.

Strengths

  • AcoustID fingerprinting identifies files from the audio itself, even with no tags at all
  • Album-oriented matching produces consistent tags across a whole release
  • Supports MP3, FLAC, Ogg, M4A, WMA, WAV and more, with excellent Unicode handling
  • Scripting and plugins control file naming and folder layout precisely

Limitations

  • Needs an internet connection; it is a front end to an online database
  • The album-first workflow is awkward for loose singles and compilations
  • Scripting is powerful but has its own syntax to learn
  • Fingerprint lookups on a large library take a long time

Details

Pricing
FreeFree and open source under the GPL, maintained by the non-profit MetaBrainz Foundation.
License
GPL-2.0
Developer
MetaBrainz Foundation
Platforms
Windows, macOS, Linux
How it runs
Downloadable app
Account
Not required
Works offline
No
Best suited for
Cleaning up the tags on a music library that was ripped or downloaded over many years
Categories
Audio tools
Last verified
Added
Provenance
Selected from the TechWalrus downloads catalog (Audio); facts checked against the developer's own pages, 2 sources on file.

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