WB2024/Essentia-to-Metadata

Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models

Python119 stars14 forks

Topics

#audio-analysis#essentia#machine-learning#metadata#music#music-tagging#python

What it does

Essentia-to-Metadata is a Python tool that leverages machine learning to analyze audio files and automatically tag them with accurate genre and mood labels. This local processing solution is ideal for music enthusiasts looking to organize their libraries without relying on internet access.

Star history

Not enough history yet — 1 day(s) recorded. The daily snapshot builds this up.

Tracking

Last trending: 2026-02-21

Creator kit

Hook

Transform your music library with intelligent genre and mood tagging using Essentia-to-Metadata!

Content angles

Create a tutorial on how to set up and use Essentia-to-Metadata for music tagging.
Share a comparison of Essentia-to-Metadata and other tagging tools like MusicBrainz Picard.
Discuss the importance of accurate genre tagging for music discovery and curation.

Who should care

Music producers, DJs, and audio engineers looking to enhance their music libraries.