WB2024/Essentia-to-Metadata
Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models
Python121 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
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.