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Install musicbrainz-picard with Homebrew Cask

Music tagger. Version 3.0.4,13.0 via Homebrew Cask; verified from local package data. Also installable with winget: winget install --id MusicBrainz.Picard -e.

install

Additional install commands

macOS

Homebrew Caskverified · 100%
brew install --cask musicbrainz-picard

local Homebrew cask metadata

overview

Package summary

Music tagger

Commands and aliases

No executable aliases were found in the local package database.

history

Project history and usage

MusicBrainz Picard is the official cross-platform MusicBrainz audio tagger. It identifies recordings and releases, retrieves structured metadata and cover art, and writes tags using an album-oriented workflow.

Project history

MusicBrainz states that Picard's predecessor dates to 2003 and development of its current form began in 2007. An earlier Picard generation had already become the official MusicBrainz tagger in 2006.

The project developed into a cross-platform Python application backed by the community-maintained MusicBrainz database. Its source is maintained publicly under GPL-2.0-or-later, now in the MetaBrainz GitHub organization.

Adoption history

Picard became the official MusicBrainz tagger in 2006 as MusicBrainz adopted PUID acoustic fingerprints. It remains the project's supported cross-platform desktop tagger for Linux, macOS, and Windows.

Its combination of MusicBrainz metadata, AcoustID fingerprinting, CD lookup, scripting, cover art, and plugins has made it a common tool for cleaning and normalizing large personal music libraries.

How it is used

Users load audio files, cluster them into albums, look up or scan recordings, compare proposed MusicBrainz metadata, and save approved tags back to the files. AcoustID fingerprints can identify files with missing or unreliable metadata.

Advanced users customize filename and tag output with scripts, install plugins, retrieve cover art, look up CDs, and submit disc IDs to MusicBrainz.

Why package nerds care

Picard is a long-lived, GPL-licensed desktop application with releases across major operating systems and packaging ecosystems. Package maintainers must account for its Python and Qt stack, audio-format support, optional fingerprinting tools, plugins, and platform-specific integration.

For metadata enthusiasts, Picard is important because it writes stable MusicBrainz identifiers and applies an album-oriented matching model rather than merely editing individual tag fields.

Timeline

  • 2003: Picard's predecessor was in use.
  • 2006: Picard became the official MusicBrainz tagger with PUID support.
  • 2007: Development of Picard in its current form began.
  • 2012: Picard 1.0 was published.
  • 2026: The 3.0 documentation generation was published.

Related projects

  • MusicBrainz supplies the community-maintained music metadata used by Picard.
  • AcoustID provides the acoustic-fingerprint matching used to identify recordings.
  • Chromaprint's fpcalc utility is used to calculate compatible fingerprints.
  • Official and third-party Picard plugins extend tagging, scripting, and metadata workflows.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for musicbrainz-picard. Package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew post-install hook is recorded in formula metadata.
  • No Homebrew bottle metadata was recorded.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
~/.config/MusicBrainz/Picard.ini
Windows
%APPDATA%\MusicBrainz\Picard.ini

executables

Installed executables

CommandKindExposureNote
No executable data was present.

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-11-04
manager version3.0.4,13.0
manager updated
local dataok
upstreamnot checked
latest detectednot detected

https://picard.musicbrainz.org/

  • infoNo package-manager update timestamp was available.low confidence
  • infoRelease/tag comparison is only available for GitHub repositories.https://picard.musicbrainz.org/none confidence

install metadata

Package metadata

Package keycask:musicbrainz-picard
Version3.0.4,13.0
Package managerHomebrew Cask
Package manager pagehttps://formulae.brew.sh/cask/musicbrainz-picard
Homepagehttps://picard.musicbrainz.org/
Upstream docshttps://picard.musicbrainz.org/
Source archivehttps://data.musicbrainz.org/pub/musicbrainz/picard/MusicBrainz-Picard-3.0.4-macOS-13.0-arm64.dmg
SHA-256dc4bd3ab3da5df45baa7e82e0a6b49930f6f8dd72e76b74fde0d533f41850310
Bottlenot recorded
Homebrew post-installnot defined
Servicenone declared

registry facts

Source database details

Source DatabaseHomebrew cask API
Taphomebrew/cask
Full Tokenmusicbrainz-picard
Names
  • MusicBrainz Picard
Depends On
Artifacts
Deprecatedno
Disabledno

source database matches

Other package-manager records

Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.

winget95%

MusicBrainz.Picard

winget install --id MusicBrainz.Picard -e
  • normalized package name match
  • Matched by: Musicbrainz Picard
Windows Package Manager source index · cdn.winget.microsoft.com · Windows Package Manager source index: MusicBrainz.Picard from https://cdn.winget.microsoft.com/cache/source.msix

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment