Music Fetch
A local-first music recognition tool for noisy web video, playlists, and local files — one engine behind a CLI, an HTTP API, a TUI, and a native macOS app.
Music Fetch answers one question — what is this track? — for messy inputs: web video, playlists, and local media files. The same engine is exposed four ways, so it fits however I happen to be working.
What it does
music-fetch analyzefor direct command-line analysis of a URL or a local file.music-fetch servefor a small local HTTP API.music-fetch tuifor an interactive terminal UI.- A native Music Fetch.app SwiftUI interface for macOS.
How it works
It's built for macOS first and leans on ffmpeg and yt-dlp, so ingestion
follows whatever sites yt-dlp supports. Recognition is local-first and
free-first: unofficial Shazam matching and local fingerprinting come first, with
hosted services (AudD, ACRCloud) only as an optional fallback when you supply
credentials. Vocal/instrumental separation is available to clean up noisy audio
before matching.
It's the only one of my projects that's fully public — the code is on GitHub.