# cgzirim/seek-tune

An implementation of Shazam's song recognition algorithm.

Repository: https://github.com/cgzirim/seek-tune
Canonical: https://ross.abutalabs.com/products/seek-tune
Language: Go
License: MIT
License Family: permissive
Topics: audio-fingerprinting, audio-processing, go, golang, shazam, song, song-recognition-algorithm, not-shazam
Last push: 2025-11-19T20:59:14+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 53, release rhythm 35, longevity 65
- inputs: {"age_days": 911, "days_push": 287, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5596, forks 617 (observed 2026-08-28T04:09:22.761989+00:00)

## What it is
SeekTune is an open-source implementation of Shazam's audio fingerprinting and song recognition algorithm, written in Go with a web client. It fingerprints songs into a database and identifies songs from audio snippets, integrating Spotify and YouTube APIs for song lookup and download.

## Use cases
- identify a song from a short audio clip like shazam
- build a local song fingerprint database from my music files
- recognize music playing through the microphone
- self-hosted shazam alternative
- download songs from spotify links with metadata
- learn how shazam's audio fingerprinting algorithm works

## When to choose
- you want a self-hosted, customizable song recognition service
- you need to fingerprint and match against your own audio library
- you want to study or extend the Shazam algorithm in Go

## When to avoid
- you need production-scale recognition against millions of tracks
- you want a polished turnkey mobile app rather than a self-assembled stack
- you cannot obtain Spotify API credentials or install FFmpeg/YT-DLP

## Facets
- artifact type: application
- maturity: active
- function: audio-processing, search-engine, http-server, cli
- domain: machine-learning, web-development, developer-tools
- platform: go, cross-platform, self-hosted
- tags: audio-fingerprinting, shazam-algorithm, song-recognition, spotify-api, youtube-api, spectrogram, audio, docker

## Member repositories
- cgzirim/seek-tune (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:22.761989+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:55:29.026454+00:00, confidence not recorded.
  - readme: https://github.com/cgzirim/seek-tune (fetched 2026-08-28T04:09:22.761989+00:00, sha 9dc9c620ef49)
- Data as of 2026-08-30T08:39:29.467469+00:00.