BPM Finder is an audio intelligence API. Send it an audio file or URL; get back tempo, key signature, energy, danceability, and spectral fingerprint in seconds. Built for DJ apps, mood-based playlists, video editors that auto-cut to the beat, and any product that needs to actually understand audio instead of relying on metadata that does not exist.
Most audio analysis on the web depends on user-supplied tags or licensed metadata libraries that are expensive, incomplete, and wrong for anything outside the top 40. Independent music platforms, creator tools, and DJ apps need a way to compute these features themselves, but DSP code is hard, and shipping a Python audio pipeline behind a Next.js app is even harder.
A managed audio analysis API that runs the Python DSP heavy lifting on the backend and returns clean JSON. BPM, key, energy, danceability, loudness, spectral centroid, all from a single endpoint. Stripe-metered billing means apps pay only for the audio they actually analyze.
BPM detection with confidence score
Musical key and mode (major / minor) estimation
Energy, danceability, and loudness metrics
Spectral fingerprint for duplicate and remix detection
Async job processing for large files
Stripe-metered billing per analyzed minute
Webhook callbacks on job completion
REST API with bearer-token authentication
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