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MusicBrainz Picard project preview
MediaAlternative to Mp3tagAlternative to TagScannerAlternative to MusicBrainz

MusicBrainz Picard

Cross-platform audio tagger powered by the open MusicBrainz database.

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LicenseGPL-2.0
GitHub stars4.5k
Last commit1 weeks ago
Tags6 topics
QtMusicbrainzMediaMusic TaggerPythonAcoustid
Overview

Why consider MusicBrainz Picard?

MusicBrainz Picard is the official open-source music tagger for the MusicBrainz database. Built with Python and Qt, it identifies audio files via AcoustID acoustic fingerprints and tags them with comprehensive release information.

Guided learning

Learn MusicBrainz Picard by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Picard

Picard identifies songs by analyzing raw audio waveforms, fixing missing artist tags and incorrect album names automatically.

Installation

bash
1# macOS via Homebrew
2brew install --cask musicbrainz-picard
3
4# Windows via Winget
5winget install MetaBrainz.Picard

MusicBrainz Picard is licensed under the GNU General Public License v2.0 (GPL-2.0).

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MusicBrainz Picard FAQs

MusicBrainz Picard is listed as a Media tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

MusicBrainz Picard is listed under the GPL-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

MusicBrainz Picard is listed as an alternative to Mp3tag. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.