SongKong

SongKong is an intelligent music tagger designed to make the task of managing, organizing, and cleaning up your digital music collection quick and easy. It's for those of us who care about music and need it properly cataloged with high-res artwork, but without much time to spend on accomplishing this. SongKong supports most audio formats, including MP3, MP4, AIFF, WAV, FLAC, Ogg, and WMA.

SongKong can identify songs and fix misspellings, add metadata such as as artist and album and album art, and rename songs based on the new metadata if you wish. SongKong uses intelligent acoustic-matching from Acoustid to listen to your songs and find matches, even when they have no information at all, but also takes advantage of existing file information to ensure you get the best album match. It can deal with large music collections as well as small ones. If you use iTunes, it can automatically update it with your modifications.

SongKong can also use Acoustids to find duplicate songs.

Note: Now supports Artwork Images

Improvement:

• Add support for storing Artist Images
• Add support for Artist Official page, Wikipedia page
• Move Releases to Ehcache rather than Database
• Consider moving some database objects out of H2 and into Ehcache/Nosql
• Remove Max Artwork to Add option
• Cache AcoustId Queries
• Cache AcousticBrainz Lookups

Bug:

• Linux:Looking in wrong place for help
• Still issue with deleting CoverArt
• Setting Artwork to Always Replace can cause issue when matching from Discogs
• Improve filtering when using AcoustId Song Only/User Submitted Data
• Save Artwork to FS has no effect if audio files not modified
• NullPointerException in Artwork save if Disc TOTAL missing
• AcousticBrainz Null Pointer
• Volume 1:MusicBrainzSongGroupMatcher:String index out of range