SInES Tools: Tag a Tune Audio Tagger (AI based music tagger with Essentia.js and Magna TagATune Model)

1. Click on " Start" to reset all values on default and wait for the AI Model to load entirely.
2. Upload one or multiple mp3 or wav audio file(s).
3. optional: If you have uploaded multiple audio files to analyze them in a batch:
   Additionally, export a table for each file containing all individual values over time as a .zip file
4. Click on " Analyse" to start the detection process.
5. optional (Single-File only): View the classified features in the plot. (Note: Only the Top 7 features are visible by default.)
6. Click on "Show JS Arrays" or "Export CSV", to display or export the recorded data.

Click "Start" to load the Models.

SInES Tools: Tag a Tune Audio Tagger © 2026 by Christoph Reuter and SInES (last modified: 16.8.2026) is licensed under Affero GPLv3 (AGPLv3).
Please note: Essentia and the underlying Essentia library are licensed under the Affero GPLv3 (AGPLv3).
This library is available under the AGPLv3 for non-commercial use.
Translation of the Chinese version of the website: Li Hao
How to cite: Reuter, C. (2026). SInES Tools: Tag a Tune Audio Tagger. Web Application https://sinestools.univie.ac.at/magna_audio_tagger.htm