Metadata matching using MusicBrainz to match tracks from the metadata in your files either automatically or manually.Acoustic matching using MusicBrainz and MusicIP to match tracks based on the actual music.Supports MP4, M4P, MP4, MP3, FLAC, WMA, and OggVorbis formats.
Duplicate Filters can pick up songs that have been deleted.
Saving lossless mp4 failed with error Invalid Map. Problem reading mp4 with invalid genre value. Too much memory used when matching songs to Musicbrainz and Discogs. Memory usage higher when loading from cache than disk. Correct Metadata from Musicbrainz taking too long to timeout when there is a problem.
Added additional System Look and feel for all platforms in Preferences:General:Appearance this improvement has mainly been made for Linux.Fixes AcoustId doesnt work for 24-bit flac files. Improved File loading Progress Dialog so that it is updated every 5 seconds rather than after loading a fix amount of files. Can now specify Base Folders in Preferences:General:Base Folder, then if you load files from one of these folders or one of its subfolders Jaikoz will automatically calculate the Base Folder / Sub Folder split, or you can still override this and manually set the base level.Enhancements Improved the speed at which Jaikoz loads files from the Cache. New Features Tag Browser now add non-values for Genre, Artist and Album fields to. If find more than 10 duplicate filenames the next file should be renamed by adding (11) not (10)(1).
If your audio collection is incorrectly tagged or you've been struggling to edit your tracks, Jaikoz Audio Tagger is more than powerful enough for most of your needs. The most impressive thing is the way Jaikoz Audio Tagger handles formats - it seems that no matter what you throw at it, it can edit it. Some of this is clearly not essential and it would take you at least five minutes to tag every song with all the available fields. You can edit absolutely everything and even add fields such as the original song writer and mood of the song. For those that aren't tagged correctly, you can manually edit them. This means that Jaikoz Audio Tagger can automatically tag songs as soon as they are loaded into the interface although as is to be expected, the success rate can be rather hit and miss. It uses MusicBrainz which is an online database of over seven million songs which have tags automatically attached to them by MusicIP, allowing a song to be identified by the actual music, so it can perform a match even if you have no metadata. Jaikoz Audio Tagger doesn't necessarily require you to manually add data though.