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Tag .mp3 and .m4a audio files from iTunes data automatically.

Project description

Tag .mp3 and .m4a audio files from iTunes data automatically.

There are various standards in audio file tagging, and the fields they contain are huge mess, but since most of them are not being used by us normal people, to make things simpler, I chose 8 essential and common fields pragmatically:

  • Title
  • Album
  • Artist
  • Album Artist
  • Genre
  • Release Date
  • Track Number
  • Disc Number

By default, autotagger will only work with these 8 fields, anything not included will be ignored.


pip install autotagger


Run autotagger --help to see detailed information about command line options.

Input/Paste songs manually

To make autotagger working properly, you should first find the iTunes url for your album, autotagger take advantage of iTunes’s awesome lookup API and grab tagging data from it. use -u to indicate the itunes album url:

autotagger -u

After running this command, autotagger will ask you to enter the file paths, you can copy them by right click on songs in finder and choose Copy Path


Then paste them in the terminal, and hit enter to continue.

You can use url instead of album id to make the command clearer:

autotagger -i 251480659

Pass songs from pipeline

If you can get the song names from other command’s output, you can use pipeline mode to feed the input, add -p option to enable this feature:

find album -type f -name '*.mp3' | autotagger -i 251480659 -p

Clear other tags

If you want the songs to be tagged just the 8 fields other than anything else, you can add -c to achieve that. By adding this option, only the 8 fields will be contained in the songs, any other fields will be removed.

autotagger -i 251480659 -c

Download artwork

Add -a option to download artwork, note this option will make the command stop tagging songs.

autotagger -i 251480659 -a


autotagger -i 251480659


find album -type f -name '*.mp3' | autotagger -i 251480659 -p


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