If you need help on how to use MusicBrainz Picard to tag your music files, see its documentation. It bundles all its required dependencies, so the latest Picard 2.0.4 works in Ubuntu 16.04 while the official PPA updates only for Ubuntu 18.04 and higher. Snap is containerised software package designed to work within most Linux desktop. Also, the macOS requirements were also increased to macOS 10.10 or newer. MusicBrainz Picard music tagger now is available as Snap package for Ubuntu 16.04, Ubuntu 18.04, and higher. With this release, the developers decided to no longer support Windows 32bit due to lack of resources.
Added a command-line option to not restore persisted UI sizes or positions sudo add-apt-repository ppa:musicbrainz-developers/stable sudo apt update Technical details about this PPA This PPA can be added to your system manually by copying the lines below and adding them to your systems software sources.Added option to ignore track duration difference.It now publishes the official Linux binaries only through Flathub repository. Distinguish in UI between unclustered and release unmatched files MusicBrainz Picard has an official Ubuntu PPA repository, however, it’s not been updated for more than a year.Added keyboard shortcut for deleting scripts from Options > Scripting page.Other changes in MusicBrainz Picard 2.0 include: Also, many encoding-related bugs were fixed with the transition to Python 3, like the major issue of not supporting non-UTF8 filenames. The release announcement mentions that a side effect of this is that " Picard should look better and in general feel more responsive".
MusicBrainz Picard 2.0 was ported to Python 3 (requires at least version 3.5) and PyQt5 (>= 5.7). What's more, MusicBrainz Picard's functionality can be extended through scripts and plugins. The application can also tag audio files based on filenames. When a match is found, MusicBrainz Picard can update the tags of your local music with metadata from their database, like the artist, album, track name, album cover, and so on. The application can use your local music tags and acoustic fingerprints (AcoustID) to automatically compare it to records in the MusicBrainz database. MusicBrainz Picard supports numerous audio file formats including mp3, WAV and OGG file formats. It focuses on an album based tagging style, instead on track based tag editing pattern commonly seen in other audio taggers. MusicBrainz Picard is a free and open source music tagging software developed by the MetaBrainz Foundation, a non-profit company that also operates the MusicBrainz database, an open music encyclopedia. MusicBrainz Picard is a free, open source and cross-platform audio file metadata editor written in Python.