Difference between revisions of "MusicBrainz Taggers"

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; [[Magic MP3 Tagger]]
 
; [[Magic MP3 Tagger]]
:This is a Windows tagger for the MP3 file format that sponsors [[MusicBrainz]]. It uses a built-in excerpt of the [[MusicBrainz]] core data to speed up the identification process. This tagger has been optimized to automatically identify music files by using an advanced dynamic offline and online music identification algorithm. This includes consideration of different naming patterns and similarities, various artist albums, compilation discs, known common misspellings and more.  
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:This is a Windows tagger for the MP3 file format that sponsors MusicBrainz. It uses a built-in excerpt of the MusicBrainz core data to speed up the identification process. This tagger has been optimized to automatically identify music files by using an advanced dynamic offline and online music identification algorithm. This includes consideration of different naming patterns and similarities, various artist albums, compilation discs, known common misspellings and more.  
  
 
; [[Jaikoz MP3 Tag Editor|Jaikoz Tag Editor]]  
 
; [[Jaikoz MP3 Tag Editor|Jaikoz Tag Editor]]  
: This cross platform tagger supports acoustic fingerprinting ([[AcoustID]]), meta-matching on a track by track basis, iTunes integration, full unicode support, lyrics and cover art matching. 30 fields can be automatically updated from [[MusicBrainz]], and it supports most audio formats.
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: This cross platform tagger supports acoustic fingerprinting ([[AcoustID]]), meta-matching on a track by track basis, iTunes integration, full unicode support, lyrics and cover art matching. 30 fields can be automatically updated from MusicBrainz, and it supports most audio formats.
  
 
==Deprecated Taggers==
 
==Deprecated Taggers==

Revision as of 19:22, 7 July 2012

Supported Tagger

The MusicBrainz tagger application allows you to automatically look up the releases/tracks in your music collection and then write clean metadata tags (ID3 tags, Vorbis comment fields, etc.) to your files. The tagger also allows you to specify how and where to write cleanly tagged files to your hard drive.

MusicBrainz Picard
Picard is a cross-platform (Linux/Mac OS X/Windows) application written in Python. It supports the majority of audio file formats, uses PUID or AcoustID audio fingerprints, performs CD lookups and disc ID submissions, and it has excellent Unicode support.

3rd Party Taggers

Magic MP3 Tagger
This is a Windows tagger for the MP3 file format that sponsors MusicBrainz. It uses a built-in excerpt of the MusicBrainz core data to speed up the identification process. This tagger has been optimized to automatically identify music files by using an advanced dynamic offline and online music identification algorithm. This includes consideration of different naming patterns and similarities, various artist albums, compilation discs, known common misspellings and more.
Jaikoz Tag Editor
This cross platform tagger supports acoustic fingerprinting (AcoustID), meta-matching on a track by track basis, iTunes integration, full unicode support, lyrics and cover art matching. 30 fields can be automatically updated from MusicBrainz, and it supports most audio formats.

Deprecated Taggers

Classic Tagger
The predecessor of MusicBrainz Picard, this application had a track oriented approach to tagging and featured TRM acoustic fingerprinting.
iEatBrainz!
Tagger for Mac OS X that integrates with your iTunes library. This uses the old acoustic fingerprinting standard (TRM) which is phased out in favor of PUID.

Additionally, there is a tool which allows to add DiscIDs to releases (The tagger applications above support this feature as well).

CdLookupTool MusicBrainz CD Lookup Tool
Designed to allow users the ability to lookup and contribute metadata for Audio CDs.