scan your music collection and generate acoustic fingerprints.
works with traktor history fixer for accurate track matching.
uses Chromaprint to generate a unique acoustic fingerprint for every audio file — MP3, FLAC, WAV, AIFF, M4A and more.
fingerprints identify tracks by actual audio content. wrong filename, missing tags, renamed files — doesn't matter. if it sounds the same, it matches.
scans entire folders recursively. live progress with per-track results. stop any time. picks up the last folder on next launch.
saves fingerprints.json with path, fingerprint, duration, title and artist per track. ready to load into traktor history fixer.
load the JSON into traktor history fixer and it uses fingerprints as the primary matching signal — far more accurate than filename or duration alone.
standalone macOS .app. fpcalc is bundled. no Python, no Terminal, no homebrew required. download and run.
click Browse and select your music folder. the app counts all audio files and shows you what it found.
click Start Scan. in the mean time, be productive — it takes a while for large collections.
when done — click Save JSON to save your fingerprints.json. load it into THF for accurate matching.
standalone .app · Apple Silicon · macOS 11+
questions? [email protected]