ahmed/acousticbrainz-ng
ahmed/acousticbrainz-ng
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Picard plugin to analyze acoustic features
24 commits 1 branch 0 tags 140 MiB
  • PureBasic 99.8%
  • Python 0.2%
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ahmed a9791395b4
 I should read documentation more often
2026-07-13 15:01:22 -04:00
bin Handle >2 channels 2025-12-25 18:55:07 -05:00
misc Fixes, tweaks, and other resources 2025-10-22 00:00:41 -04:00
models Run binaries on song 2025-08-06 15:38:22 -04:00
.gitattributes Ignore bin and models for proper language detection 2026-03-12 15:32:06 -04:00
.gitignore Run binaries on song 2025-08-06 15:38:22 -04:00
__init__.py I should read documentation more often 2026-07-13 15:01:22 -04:00
constants.py Avoid errno 36 when release has many artists 2026-07-13 14:57:31 -04:00
README.md Essentia script and Windows warning 2025-08-18 15:24:53 -04:00

README.md

AcousticBrainz-ng

This plugin is not affiliated with the AcousticBrainz project.

Note

Although compatible, the plugin will likely not work on Windows due to an access violation error (exit code 3221225477) when ran with Picard. If you have a fix or a workaround, please let me know.

Features

  • Moods
  • ReplayGain
  • BPM
  • Key
  • Tags

Getting started

  1. Clone this repository to your Picard plugins folder
  2. Enable the plugin
  3. If not correctly set already, set the FFmpeg executable path in the plugin options page