# acoustid/chromaprint

C library for generating audio fingerprints used by AcoustID

Repository: https://github.com/acoustid/chromaprint
Canonical: https://ross.abutalabs.com/products/chromaprint
Language: C++
License: NOASSERTION
License Family: other
Topics: chromaprint, acoustid, audio-fingerprinting, audio-processing, audio-analysis, audio
Last push: 2026-07-28T06:14:29+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 63, longevity 100
- inputs: {"age_days": 5617, "days_push": 36, "days_rel": 36, "gap_med": 333, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1354, forks 173 (observed 2026-08-28T04:04:29.135291+00:00)

## What it is
Chromaprint is a C library for generating compact audio fingerprints, developed for the AcoustID music identification project. It includes the fpcalc command-line utility and is designed for identifying near-identical audio rather than general-purpose fingerprinting.

## Use cases
- identify music tracks from audio files
- detect duplicate audio files in a library
- monitor long audio streams for known tracks
- generate AcoustID fingerprints for MusicBrainz tagging
- build a music recognition feature into an app

## When to choose
- you need compact fingerprints for identifying near-identical audio
- you want AcoustID/MusicBrainz integration
- you need a fast C library with bindings in many languages

## When to avoid
- you need robust fingerprinting against heavy distortion or re-encoding
- you need general-purpose audio similarity search rather than exact identification

## Facets
- artifact type: library
- maturity: active
- function: audio-processing, search-engine, cli
- domain: developer-tools
- platform: cross-platform, windows, cpp, c
- tags: audio-fingerprinting, acoustid, music-identification, fpcalc, musicbrainz, audio, algorithms, linux, macos

## Member repositories
- acoustid/chromaprint (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.135291+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 2026-08-30T04:42:00.594233+00:00, confidence not recorded.
  - readme: https://github.com/acoustid/chromaprint (fetched 2026-08-28T04:04:29.135291+00:00, sha bbebc2db13af)
- Data as of 2026-08-30T08:39:29.467469+00:00.