Jaikoz uses my open source Jaudiotagger library for reading and writing tags, so if I want to add a new field to Jaikoz it has to be added to jaudiotagger first.
Ive just added a bucket load of new fields that should make their way into Jaikoz.
CUSTOM1,
CUSTOM2,
CUSTOM3,
CUSTOM4,
CUSTOM5,
FBPM,
MUSICBRAINZ_RELEASE_GROUP_ID,
MUSICBRAINZ_WORK_ID,
OCCASION,
ORIGINAL_ALBUM,
ORIGINAL_ARTIST,
ORIGINAL_LYRICIST,
ORIGINAL_YEAR,
QUALITY,
SCRIPT,
TAGS,
TEMPO,
RATING,
PRODUCER,
MIXER,
DJMIXER,
If there is some field you really want that isn't currently in Jaikoz let me know.
Thursday, 14 October 2010
Monday, 11 October 2010
iTunes can now export m3u playlists !
Smoother integration with iTunes is always something I endeavour to achieve, but iTune's doesn't make it easy. One longstanding problem was that iTunes playlists could only be exported in iTune's proprietry format which could not be read by Jaikoz.
I was looking at plugging this gap today, but whilst playing with iTunes 10 I noticed that when you save a playlist that there is now an option to save the playlist in m3u format
So the problem is solved because the contents of a m3u playlist can be opened in Jaikoz either using File/Open Playlist or by a simple drag and drop.
Now it would be really great if you could just drag a playlist directly from iTunes to Jaikoz, but that is not possible at the moment because of a bug in iTunes drag and drop support.
I was looking at plugging this gap today, but whilst playing with iTunes 10 I noticed that when you save a playlist that there is now an option to save the playlist in m3u format
So the problem is solved because the contents of a m3u playlist can be opened in Jaikoz either using File/Open Playlist or by a simple drag and drop.
Now it would be really great if you could just drag a playlist directly from iTunes to Jaikoz, but that is not possible at the moment because of a bug in iTunes drag and drop support.
Thursday, 2 September 2010
Matching to a different song version
Progress on the new version of Jaikoz with release orientated matching is progress well but I came across an interesting problem today.
As well as release matching, Jaikoz has the 'Prefer Do not match to Single Artist Compilations', for those of you who want songs linked to the original release, even if you don't have the original release. I was testing this with songs from Madonnas Immaculate Collection and I was always failing to match songs such as Holiday to the original album Madonna. Turns out it was because the track length differs by a whopping two minutes, 6.11 seconds for the original versus 4.06 and Jaikoz rejects song lengths that vary by more than 15 seconds (10 seconds in current release)
So the songs are clearly different version, and as a general rule we wouldn't want to match them, but I wonder if some of you actually would want to match to this earlier version regardless that you have the later version ?
As well as release matching, Jaikoz has the 'Prefer Do not match to Single Artist Compilations', for those of you who want songs linked to the original release, even if you don't have the original release. I was testing this with songs from Madonnas Immaculate Collection and I was always failing to match songs such as Holiday to the original album Madonna. Turns out it was because the track length differs by a whopping two minutes, 6.11 seconds for the original versus 4.06 and Jaikoz rejects song lengths that vary by more than 15 seconds (10 seconds in current release)
So the songs are clearly different version, and as a general rule we wouldn't want to match them, but I wonder if some of you actually would want to match to this earlier version regardless that you have the later version ?
Monday, 3 May 2010
The best duplicate song deleter around ?
Most of you try out Jaikoz for getting more metadata for your songs, but one of its less advertised features is duplicate song deletion.
The way Jaikoz find duplicates is very powerful because it uses the sonic matching of AmpliFIND and the expert metadata matching power of Musicbrainz. It is format independent so for example it could recognise that a song encoded as Flac and the same song encoded as Mp3 are the same song.
Once you have matched all your songs you have three choices for identifying duplicates.
1. Matching songs with the same Musicbrainz Id
These songs have been matched to the same release, so are very likely to be a duplicate
2. Matching songs with the same AmpliFIND Id
These songs should be sonically the same, but you may not want to delete them if you want to maintain the same song on two different releases. For example if the same song is in your collection on an original album and a compilation, you may want to keep both.
3. Matching songs with e same Musicbrainz Id AND AmpliFIND Id
These songs have been matched to the same release AND are sonically the same so are almost definitely a duplicate
This choice is made at Preferences/Local Correct/Delete Duplicates, and you can then run Delete Duplicates from the Action menu or as part of the Autocorrecter.
You can also just show potential duplicates and then make the final decision yourself using the filters in the Filter Menu.
The Preferences also let you specify whether to actually delete, move or link to the duplicates
The way Jaikoz find duplicates is very powerful because it uses the sonic matching of AmpliFIND and the expert metadata matching power of Musicbrainz. It is format independent so for example it could recognise that a song encoded as Flac and the same song encoded as Mp3 are the same song.
Once you have matched all your songs you have three choices for identifying duplicates.
1. Matching songs with the same Musicbrainz Id
These songs have been matched to the same release, so are very likely to be a duplicate
2. Matching songs with the same AmpliFIND Id
These songs should be sonically the same, but you may not want to delete them if you want to maintain the same song on two different releases. For example if the same song is in your collection on an original album and a compilation, you may want to keep both.
3. Matching songs with e same Musicbrainz Id AND AmpliFIND Id
These songs have been matched to the same release AND are sonically the same so are almost definitely a duplicate
This choice is made at Preferences/Local Correct/Delete Duplicates, and you can then run Delete Duplicates from the Action menu or as part of the Autocorrecter.
You can also just show potential duplicates and then make the final decision yourself using the filters in the Filter Menu.
The Preferences also let you specify whether to actually delete, move or link to the duplicates
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