# WB2024/Essentia-to-Metadata

<https://repo.masters-masters.com/en/repos/WB2024/Essentia-to-Metadata>

[Home](https://repo.masters-masters.com/en) › [WB2024](https://repo.masters-masters.com/en/owners/WB2024) › [Essentia-to-Metadata](https://repo.masters-masters.com/en/repos/WB2024/Essentia-to-Metadata)

WB2024/Essentia-to-Metadata has 130 stars on GitHub. Its RepoMasters card: Prototype tier. Intelligent audio analysis and automatic genre/mood tagging using…

| Field | Value |
| --- | --- |
| Owner | [WB2024](https://repo.masters-masters.com/en/owners/WB2024) |
| Stars | 130 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | audio-analysis, essentia, machine-learning, metadata, music, music-tagging, python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [WB2024/Essentia-to-Metadata](https://github.com/WB2024/Essentia-to-Metadata) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.