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MusicBrainz Picard MP3 Tagger Software For PC Download 2.6.3

May 26,2020 - MusicBrainz (Free)

29.1 MB (Safe & Secure)

MusicBrainz Picard is a free powerful MP3 tag software for Windows PC written in Python. Picard supports all popular music formats, including MP3, FLAC, OGG, M4A, WMA, WAV, and more. Picard uses Acoust ID audio fingerprints, allowing files to be identified by the actual music, even if they have no metadata. This can lookup entire music CDs with a click. If you need a particular feature, you can choose from a selection of available plugins or write your own. Picard is licensed under GPL 2.0 or later, and is hosted on GitHub where it’s actively developed by some awesome developers.

It is a software utility that can help you tag your audio files. This application is album-oriented, as it allows you to sort files into album clusters by examining the metadata. In this way, you can sort the songs that belong to the same album and leave aside the unmatched files.

MusicBrainz Picard MP3 Tag Software

The user interface is clean and it can be easily mastered even by less experienced users. If you don’t get an idea of how this program functions, you can check the help menu.

The app allows users to add files or folders by using the built-in browse function, or you can simply drag and drop them in the main window of the program. Moreover, it can also import data from CDs.

Start with opening individual music files or directories by dragging them into the left-hand pane. It will read the metadata from each of the files and unless they have been tagged before, the files will be deposited into the “Unmatched files” folder. Files that have been tagged before and contain MusicBrainz track identifiers will open up in the right-hand pane as a part of its release.

Instead of using release-oriented and metadata-dependent lookups, Picard can try and tag your files as single files (rather than a cluster) based on their audio fingerprint. If you select a set of files in the left-hand pane and click “Scan”, Picard will find AcoustIDs for your files and query MusicBrainz to find a track that matches them.

If you want granular control over how your files are being tagged, or the above methods provided inaccurate results (or no results), the alternative is to manually lookup and choose the correct release(s) for your files.


It is very flexible and can be customized using scripts and plugins to do things such as:

  • Rename and reorganize your collection using the functions provided in the scripting language
  • Customize how Picard applies the MusicBrainz metadata to your files
  • Encapsulate scripting, download cover art, and add other functionality to Picard

A lot of Picard’s power is in its extensive drag and drop features. Try some of these operations:

  • Drag a file from the file browser to an album track.
  • Drag a file from the file browser to an album — this attempts to match the file to the album automatically.
  • Drag a directory from the file browser to an album — this attempts to match all the files from the dir to the album.
  • Drag an album cluster onto an album to match the cluster to the album.
  • Drag one album onto another to match all the files from one to the other.
  • Drag an album cluster into unmatched files to move the cluster back to unmatched.
  • Drag unmatched files from an album onto another album or back to unmatched files.

Tag Editor Software

Picard supports the following file formats:

  • MPEG-1 Audio (.mp3, .mp2, .m2a)
  • MPEG-4 Audio (.m4a, .m4b, .m4p, .m4v, .mp4)
  • Windows Media Audio (.wma, .wmv, .asf)
  • Microsoft WAVE (.wav)
  • The True Audio (.tta)
  • FLAC (.flac)
  • Audio Interchange File Format (.aiff, .aif, .aifc)
  • Musepack (.mpc, .mp+)
  • WavPack (.wv)
  • OptimFROG (.ofr, .ofs)
  • Monkey’s Audio (.ape)
  • Tom’s lossless Audio Kompressor (.tak)
  • Speex (.spx)
  • Ogg FLAC (.oggflac)
  • Ogg Theora (.ogg)
  • Ogg Opus (.opus)
  • Ogg Audio (.oga)
  • Ogg Video (.ogv)
  • Ogg Video (.ogv)
  • ADTS stream / AAC (.aac)
  • AC-3 (.ac3, .eac3)

What’s New in MusicBrainz Picard MP3 Tag Software

  • PICARD-1775 – $firstwords function doesn’t catch IndexError
  • PICARD-1776 – $datetime crashes when invalid format specified
  • PICARD-1781 – Have $find return “” rather than “-1” on not found
  • PICARD-1783 – Deleting performer, comment or lyrics tag fails for some cases in ID3, Vorbis, MP4 and Apev2 tags
  • PICARD-1784 – Host not found error when downloading PDF artwork
  • PICARD-1785 – $delete(_id3:TXXX:foo) does not delete the ID3 frames
  • PICARD-1786 – Deleting tag stored in ID3 TIPL frame only removes first occurrence
  • PICARD-1787 – Deleting case-insensitive TXXX frames does not delete anything
  • PICARD-1788 – Saving ID3 tags marked as case-insensitive causes duplicated TXXX frames
  • PICARD-1790 – Crash when selecting plugin that can be updated
  • PICARD-1791 – Network access is disabled error under VPN service
  • PICARD-1795 – iTunes tags not removable (reappear after being deleted)
  • PICARD-1801 – List index out of range when saving Vorbis file
  • PICARD-1803 – Instrument EWI is rewritten “ewi”


  • PICARD-1777 – Support fractional scaling on Windows 10
  • PICARD-1800 – Simplify Unicode ‘Bullet’ to ASCII ‘Hyphen-minus’
  • PICARD-1809 – Optimize format detection logic

System Requirements MP3 Tag Software For PC

Operating System Windows: Windows 7/8/10
Mac: Mac OS X 10.4 and Higher Version
Linux OS: Fedora, Debian, OpenSUSE

Official Video Intro MusicBrainz Picard

How to FIX music tags using MusicBrainz Picard

MusicBrainz Picard Older Versions

Version Name Size Download
picard-setup-2.3.2 28.7 MB Download
  • Mp3tag
  • TagScanner
  • Kid3
  • Midomi
  • Album Art Downloader
  • Radio4000

MusicBrainz Picard Overview

MusicBrainz Picard Download For PC

Technical Specification

Version 2.6.3
File Size 29.1 MB
Languages Multiple
License Free
Developer MusicBrainz


MusicBrainz Picard is a handy tool for MP3 Tag Software all users who want to tag their songs easily and efficiently. This app suits all users who need to add tags to their albums, rather than dealing with tracks individually.


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