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MusicBrainz Picard

von MetaBrainz Foundation
Unverifiziert

MusicBrainz's music tagger

Do you need to clean up your music library? Picard is an open-source cross-platform music tagger by MusicBrainz. It has the ability to identify audio files even without any existing metadata.

Picard helps you organize your music collection by renaming your music files and sorting them into a folder structure exactly the way you want it. A variety of plugins are available and you can even write your own. Picard supports a wide range of audio formats and can also lookup an entire CD for you.

Tagging audio files has never been easier.

Features:

  • Multiple formats: Picard supports all popular music formats, including MP3, FLAC, OGG, M4A, WMA, WAV, and more.
  • AcoustID: Picard uses AcoustID audio fingerprints, allowing files to be identified by the actual music, even if they have no metadata.
  • Comprehensive database: Picard uses the open and community-maintained MusicBrainz database to provide accurate information about millions of music releases.
  • CD lookups: Picard can lookup entire music CDs with a click.
  • Plugin support: If you need a particular feature, you can choose from a selection of available plugins or write your own.
  • Scripting: A flexible but easy to learn scripting language allows you to exactly specify how your music files will be named and how the tags will look like.
  • Cover Art: Picard can find and download the correct cover art for your albums.
  • Open Source: Picard is licensed under the GNU General Public License 2.0 or later, and is hosted on GitHub where it is actively developed by some awesome developers.

Änderungen in Version 2.11

vor 3 Monaten
(Build vor 3 Monaten erstellt)
  • Kein Änderungsprotokoll vorhanden
  • Von der Gemeinschaft entwickelt

    Diese App wird von einer Gemeinschaft von Freiwilligen entwickelt und unter der GNU General Public License v2.0 or later veröffentlicht.
    Bring Dich ein
Installierte Größe~65.89 MiB
Download-Größe19.83 MiB
Verfügbare Architekturenx86_64, aarch64
Installationen75.103
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