MusicBrainz is an online database of information on more than nine million songs. This is a community based database with contributions by over 200,000 people, with a comprehensive system of moderation ensuring the data is extremely accurate. Additionally many of these songs have associated Acoustic Ids provided by AmpliFIND, allowing a song to be identified by the actual music, so it can do a match even if you have no metadata. AmpliFIND also provides an online database and a number of Music Mixing and Music Identification services, this is the very latest technology and is much more powerful than other systems that only allow a match by metadata.

Discogs is another online database of information similar to Musicbrainz, Discogs also allows you to buy and sell records and CD's to other Discogs users. We use Musicbrainz and Discogs to get the best possible coverage of your song library.

Jaikoz allows to lookup your songs by both the acoustic id and the metadata making it very accurate, no decisions have to me made by you whilst the correction is progressing so you can go away and do something else more interesting and review the changes when complete. Jaikoz compares your track acoustically with the AmpliFIND database and if it finds a match it retrieves the acoustic id. It can then be used to contact the MusicBrainz Server to find matching tracks and meta-data. Sometimes multiple tracks may be returned but unlike other systems Jaikoz can use its its AutoMatch algorithm to determine which is the correct match in most cases. It does this by comparing the meta-data in the records returned from MusicBrainz with the record it is trying to match. As a user this means you can run Jaikoz against MusicBrainz and the corrections will be done without any additional intervention required from yourself. This is very useful because the creation of Acoustic ids and lookup in the MusicBrainz Database can take a while if you want to correct many files so is best run unattended for a large number of files. If a match is found Jaikoz will always write a record to the Unique File Identifier which provides a link back to the Music Brainz Website. It also writes values to many of the other fields such as the Music Id (PUID), Artist Id, Album Id, Disc Id, AmazonId, artist, album, title, year, album artist, release status, release type, release country and track number if they do not exist already on your file, or if they are allowed to be overwritten based on your AutoFormat Preferences.

This attempts to find an acoustic match for your track in the AmpliFIND database. In order to get a successful match the song must exist in the AmpliFIND database and your song must be of sufficient quality so that it sounds similar enough to the song in the AmpliFIND database, if an Acoustic Id is found it will be added to the AmpliFIND Id field within your song. Acoustic matching takes a few seconds per track but the Acoustic Id for a track never changes so there is no need to regenerate it, it only has to be done once. Because the Acoustic Id for a particular file will never change, the Acoustic Id will be automatically saved to file as it is retrieved. By default Jaikoz does not submit unknown tracks to AmpliFIND because analysing unknown tracks take significantly longer, but this option can be enabled. When you submit an unknown track to AmpliFIND it will not give you an Acoustic Id immediately, you have to wait 24 hours and then retry retrieving acoustic ids for the unknown track. By this time the track should have been added to the AmpliFIND database and you will normally able to retrieve an acoustic id for it.

This attempts to find a match in the MusicBrainz Database, using metadata such as artist, album and title, track duration and track number and/or the Acoustic Id. Jaikoz groups your songs by album if they have album field specified and/or by folder and first of all try to find a matching release on Musicbrainz for all the songs in the grouping, a sophisticated algorithm analyses potential matches and selects the one that matches all songs the best and is most similar to your preferences including preferred country and media format. If no suitable match is found Jaikoz then does song by song matching based on the metadata, and then for remaining songs it matches based on acoustic ids. Jaikoz will complete as many fields as it can from MusicBrainz if they are enabled in your AutoFormat options.

Because different customers use Jaikoz in different ways there are a number of preferences you can change

This attempts to find a match in the Discogs Database, using metadata such as artist, album and title, track duration and track number. Jaikoz groups your songs by album if they have album field specified and/or by folder and first of all try to find a matching release on Discogs for all the songs in the grouping, a sophisticated algorithm analyses potential matches and selects the one that matches all songs the best and is most similar to your preferences including preferred country and media format. If no suitable match is found Jaikoz then does song by song matching based on the metadata. Jaikoz will complete as many fields as it can from Discogs if they are enabled in your AutoFormat options, by default if the song has already been matched to a Musicbrainz release only empty fields will be modified by Discogs

If you are an editor of Musicbrainz you may find the Only match if matches to Musicbrainz release option useful. When this is enabled Autocorrect from Discogs will only try to match to Discogs if the song has a Musicbrainz Id, and will only accept the match if the Discogs metadata is a good match with the existing Musicbrainz metadata. This is a a very useful way of finding links between Musicbrainz and Discogs that you can then add to the Musicbrainz release as a Discogs Relationship Type.

The Match Settings also apply to Discogs

Discogs categorises releases by styles and sub categories called genres. With Jaikoz you can complete the genre field using styles and/or genres, and select how many genres you want to link to any one song. Because most players only understand the first genre linked to a song some customers put a list of genres in the grouping field as a single field to make it easier to create multiple genre based playlists. So with Jaikoz you can also specify whether to write genres to the grouping field as well, independently of the values added to the genre field.

For each (selected) track this finds upto ten potential matches in the MusicBrainz Database, a similar algorithm is used as for the AutoCorrect from Musicbrainz but is track based instead of release based , and instead of automatically selecting the best match, upto ten matches are displayed and it is your decision to select a match or not. Matches by Acoustic Id are shown first, then matches by meta data - sorted by their rating. Each choice is displayed on a separate row for each release event so that you can select the Release Date, Record Label and Catalog No to select when there are multiple choices. You can modify what fields are displayed and in what order and these changes are preserved. The last column contains either Search for the master record or View for the choices, if you select View Jaikoz opens the release in Musicbrainz so that you can look in more detail. If you select Search it opens Musicbrainz Search you can then select one of the results or search again to find the track that you want, then select the tagger button on the webpage and Jaikoz will use this selection.

If you select the popup menu for a song you have some further options. Match Songs to Selected Release looks at the Release Id of the selected song, it then checks all the other potential matches for the other songs and selects any match that has the same Release Id. This is a nice easy way of matching a whole album of songs just by finding the best match for one song. View Track in Musicbrainz and View Release in Musicbrainz open the selected match in Musicbrainz so that you can check al the details.

By default records are processed in batches of ten, after the first ten songs are processed the matches are displayed in a dialog. Whilst you are reviewing the options the next batch of songs is processed in the background. If you select Ok the songs are updated to your matches. This continues until there there are no more records to process, unless you select Cancel. You can select Reset to undo any changes you have made in the current batch that you are reviewing.

Jaikoz can retrieve the lyrics for many of your songs using an online database.

For each (selected) song this checks that they already have a MusicBrainz Id, and if they do retrieve the latest information from MusicBrainz for this Id and updates the relevent fields in the record if they are enabled in your Format options. If the track does not have a MusicBrainz Id but it does have a Musicbrainz Release Id then Jaikoz tries to find the correct track on the release by comparing the trackname, track number and track duration. If Musicbrainz contains a link to a Discogs Release Id the songs will also be updated with any more information available from Discogs.

This has a number of uses:

For each (selected) song this checks that they already have a Release Discogs Url, and if they do then Jaikoz retrieves the latest information from Discogs for this Release Id and tries to find the correct track on the release by comparing the trackname, track number and track duration of the tracks with the Discogs release information. Jaikoz then updates the relevent fields in the record if they are enabled in your Format options. The Release Discogs Url can be added after a successful Musicbrainz lookup but if you're song does not have one you can search on Discogs for it yourself and add it manually.

Whether or not you have already tagged your track from Musicbrainz, Discogs may contain additional information that is not included in the Musicbrainz Database. You can also use this to help identify information that you can be added into Musicbrainz. Discogs Cover Art is generally higher quality than is available from Musicbrainz.

The MusicBrainz Server field specifies what MusicBrainz server to use, currently there is only one but it is expected there will be mirror servers available in the future.

In order to submit data to MusicBrainz you need to have a user account, these are completely free and can be created at the MusicBrainz Website. If you have a user account specify your username and password in this tab in the MusicBrainz Username and MusicBrainz password fields. By submitting data to Musicbrainz you are helping to improve this open source database and maintain the most accurate music resource in existence. By submitting information for songs that you own you create an archive of information that will never be lost even if your own files get damaged. Currently the majority of information that is contributed to Musicbrainz is via their website, but you can contribute some information automatically via Jaikoz. if you do this please ensure the information you submit is accurate and of a high quality.