Tagging is storing the information about a song (title, artist, genre, etc.) into the audio file. This makes the file self-documenting.


A lot of media player software supports tagging.
Sometimes you might be in need of more powerful options than the standard one.


Bliss is a rule based tagger.
It runs in the background.

This allows you to have your collection permanently monitored and fixed.


Formats supported

Operating systems



MP3Tag is a popular piece of freeware.


Internet databases used are Amazon, FreeDB, Discogs, MusicBrainz


The scripting options allows you to transfer the content of one or more tags to another.

If the Band is populated, don't change it. If empty use the Artist tag


An example of renumbering the tracks (multi volume sets) can be found here.
I used the scripting options to derive opus numbers from compositions.

Saved me a lot of typing.

Jaikoz Audio Tagger

Jaikoz uses MusicBrainz, an online database of over eleven million songs and Discogs another database of over 3.5 million releases. Many of the songs also have an Acoustic Id provided by Acoustid, allowing a song to be identified by the actual music, so it can do a match even if you have no metadata! These feature means that Jaikoz gives you the flexibility to lookup your songs by both the acoustic id and the metadata making Jaikoz a very accurate tool. But no identification system is 100% accurate so we have made it as quick and easy as possible to edit your data manually as well using a convenient spreadsheet view, with many autoformatting features.

Source: Jaikoz

Price: Standard: £20 Pro: £30

MusicBrainz Picard

MusicBrainz Picard is a cross-platform (Linux/Mac OS X/Windows) application written in Python and is the official MusicBrainz tagger.

Picard supports the majority of audio file formats, is capable of using audio fingerprints (PUIDs, AcoustIDs), performing CD lookups and disc ID submissions, and it has excellent Unicode support. Additionally, there are several plugins available that extend Picard's features.

When tagging files, Picard uses an album-oriented approach. This approach allows it to utilize the MusicBrainz data as effectively as possible and correctly tag your music. For more information, see the illustrated quick start guide to tagging.

Picard is named after Captain Jean-Luc Picard from the TV series Star Trek: The Next Generation.

Source: MusicBrainz

Another tagger using the Acoustid fingerprints.


Tried both Jaikoz and Picard on my classical collection.
No joy as classical is obvious not the stronghold of Musicbrainz.


MusiCHI Tagger

Anyone familiar with tagging classical knows what is supplied as Meta data by the common internet databases is often a bit of a mess.


CHI addresses this problem in a couple of ways.

This tagger saves you a lot of time tagging your classical collection.