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About focher
Last Login:12 Jun 2009 07:22
Posts:3
Reviews:1
Recent Downloads:
  1. Jaikoz Audio Tagger
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User Reviews


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Jaikoz Audio Tagger
May 28 2008

FOCHER  iEatBrainz definitely looks nice (and nicer than Jaikoz) but is hardly comparable. First, iEatBrainz is very basic in its functionality and support of acoustic fingerprinting and MusicBrainz unique ID lookups. Second, it's a long dead tool that hasn't been updated. Even the iEatBrainz developer points users to Jaikoz as a replacement.

If you on focus on the relatively bad user interface for Jaikoz, then you are missing out on the raw power of the tool.  
(Version 2.4.1)

praisebury
0
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Jaikoz Audio Tagger
May 28 2008

FOCHER  For editing a single tag, iTunes is ok but I find it severely limited to do any tag editing beyond a couple of attributes - some of which are completely unavailable for editing.

Jaikoz, with its acoustic fingerprinting and MusicBrainz unique identifiers for artists, albums, and tracks is much more powerful.  
(Version 2.4.1)

praisebury
0
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Jaikoz Audio Tagger
May 28 2008
*****

FOCHER  It's a fair criticism that this application does not have a user interface that lives up to what you expect from an OS X app, but that is the limits of a fair criticism for Jaikoz - and mostly due to its use of the Java user interface libraries to keep it multiplatform.

First, there is almost no other tagging application on either Windows or Mac (and this one also works on Linux) that has the feature set of Jaikoz. The UI sometimes gets in the way of understanding the power of it, but Jaikoz definitely has power.

Second, you have nothing to lose by trying it for a bit with the trial download. For anyone with a large music library that wants to clean it up with a) proper tags, b) proper artwork, and c) using acoustic fingerprinting to track the metadata then Jaikoz is for you.

It uses MusicIP acoustic fingerprints to automatically identify an audio track and then the Musicbrainz public "social networking" database to match the acoustic fingerprint with the metadata.

Speed is also not an issue, so don't let the "Java" mislead you. It's very fast at performing the acoustic fingerprinting and retrieving the metadata. Just try it.  
(Version 2.4.1)

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+3
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