DeDuper: Demystified

Here is an item by item description of the various components within the DeDuper "list".  These descriptions should help you better to understand how DeDuper works and how to get the most out of it.



  1. Duplicates Bin:  This bin contains duplicate track groups that, based on our algorithm, have a high probability of definitely being duplicates.  We look at both the song and album information (meta-data) as well as the audio fingerprint to determine this.
  2. DeDupe All Button: This button will remove all of the duplicates marked with the "red x" within the entire bin.
  3. Duplicate Track Group: When DeDuper finds duplicate tracks, it groups them into "track groups" where the "good" track is marked with a Screen_shot_2011-10-03_at_9.21.56_AM.pngand any tracks that appear to be duplicates are marked with a Screen_shot_2011-10-03_at_9.22.03_AM.png. Any track marked with an Screen shot 2011-10-03 at 9.22.03 AM.pngwill be removed when the "DeDupe" or "DeDupe All" buttons are used.  These markers are clickable, so that you can change which tracks are kept or removed.
  4. Dedupe Button:  This button will remove all tracks marked with an Screen shot 2011-10-03 at 9.22.03 AM.pngwithin a "track group"
  5. Track Information: Within each "Track Group", each track will be represented by the song title (bold), the artist name, the album name, and on the right-hand side, the bit-rate, which is a measure of quality.
  6. Play and Folder Icons: The "play" iconScreen_shot_2011-10-03_at_9.46.05_AM.pngwill play the track that is associated. This is useful to see what the song is. The "folder" iconScreen_shot_2011-10-03_at_9.45.55_AM.pngwill open the location on your hard drive where the track is stored so that you can see the track in the file-system.  This comes in very handy if the duplicates are in the same folder.
  7. Duplicate Track Group 2: This just points out how we distinguis between more than one "track group" within in Bin.
  8. Likely Duplicates Bin: This Bin contains "duplicate track groups" that have a slightly lower probability of being duplicates according to our algorithm.  We group these separately in order to allow you to pay a bit more attention and make sure you agree that they are indeed duplicates.
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