![]() But please note this field was previously described in Jaikoz as the MB Unique Id. There are no predefined masks that do that, but you can create your own from the. For example, if you have With or Without you by U2 on both The Joshua Tree album and U2 The Best of 1980 -1990, then no songs would be deleted because although the song is the same it is within different albums. Run Fix Songs without renaming Run Delete Duplicates to remove. ![]() The flexibility of SongKong gives you the ability to clear out duplicate songs from your music library and leave your album collection intact. If you are an ardent album collector you probably have more than one version of the same album, maybe a UK and a US version or subsequent releases of the same album. The explanation of the duplicate checking algorithm from their FAQ: 1. Each version will contain its own quirks and qualities that give it character and make it unique. Handle files that are hardlinked to each other 3. exclude files with unique md5 (first4k (file)) 4. exclude files with unique md5 (whole file) 5. exclude files with unique sha1 (whole file) (in case of md5 collisions). In SongKong, you can set the delete duplicate criteria to be so strict that it will only identify a song as a duplicate if is the same song in MusicBrainz and appears in exactly the same version of the album (date and country of release). When Yesterday And Today, The Beatles, was released in 1966, the stereo album had three tracks that were duophonic mixes: �I�m Only Sleeping�, ï¿❝octor Robert� and ï¿❚nd Your Bird Can Sing�. In 1971, a new pressing came out that replaced those three tracks with true stereo versions. So SongKong gives you the ability to spring clean your music collection while preserving the distinctive character of your favourite albums.Exclusive to MacWorld Full version of Jaikoz v1 completely free With SongKong, the delete duplicate criteria are simple to finely tune so that in this example both the original and improved versions of the songs would be kept because they are on different releases of the same album. This is the complete version of Jaikoz Audio Tagger that allows you to organise, edit and correct your MP3 metadata such as Song Title or Artwork with ease. ![]() Jaikoz uses the Musicbrainz on-line database, an extremely accurate database of over six million songs. But because no identification system is 100% accurate it has been made as easy as possible to edit data manually using a convenient spreadsheet view as well You can choose to let Jaikoz select the best match or make the decision yourself. If you like Jaikoz v1, why not give Jaikoz v2 a try ,available from here.
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