Audio Fingerprinter
A Flask-based REST API service for generating audio fingerprints using Chromaprint. It processes audio files from a pool directory and returns acoustic fingerprints plus duration for identification and matching workflows.
Built as part of TheMusicTree backend stack, Audio Fingerprinter helps other services identify tracks and align metadata workflows. Containerized deployment and explicit runtime checks make it easy to run consistently across environments.
Who it's for
Backend and platform developers who need reliable audio fingerprint extraction as a standalone service.
Key features
- Dedicated /fingerprint-audio endpoint
- Chromaprint/fpcalc fingerprint and duration extraction
- Structured validation and error handling
- Docker + Gunicorn production deployment
Related projects
Used in backend workflows for HearTheMusicTree and related metadata tooling.
Technical documentation
Setup, APIs, architecture, and contribution workflows live in each repository's README (and linked resources). This page focuses on the product story and ecosystem fit.