With the discontinuation of AcousticBrainz, we no longer provide client tools to submit data.
If you are interested in computing acoustic features on your own music, you can still download the command-line essentia extractor and run it yourself:
Newer versions of the essentia extractor are also available on the essentia website
2022-07-06: We provide downloadable archives of all submissions made to AcousticBrainz (29,460,584 submissions)
Dumps are split into 30 archives, each with 1 million data files. Archives are compressed with zstandard compression. Filenames inside the archives are structured such that they will all uncompress into the same location.
Files in each archive are named according to the following structure:
type is one of lowlevel or highlevel,
mbid is a uuid of a MusicBrainz Recording Identifier,
d are the first, second,
third and fourth characters of the MusicBrainz
n indicates the ordinal submission offset of duplicate
data files present for the same MusicBrainz Identifier. There will always
be a file with submission offset 0.
The format of the json files in each archive are described in the data page.
The same as the above full dumps, but only containing 100,000 items for small-scale testing.
Smaller CSV files containing some basic features that may be useful for some tasks. Split into three different files based on feature type. Each file contains 29,460,584 rows of data.
2022-07-06: We will provide a downloadable archive of the data files used in the recording similarity API.
2022-07-06: We will provide new json and feature dumps of the database after de-duplicating to only one instance of each recording MBID (approximately 7 million items)
Pending dumps will be announced here and on the AcousticBrainz forum in the coming weeks.