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Every new account receives 2 free analysis tokens with no credit card required, which is enough to test the genre breakdown and optional audio features on a couple of your own tracks.
Learn moreAnalyzes the audio itself to name your genre, with BPM and key

Find Genre is an audio analysis tool that analyzes the audio itself to name your genre, with BPM and key. An audio genre finder that analyzes the recording itself across 54 genres and returns a ranked confidence breakdown plus optional BPM, key, loudness and spectral features.
FindGenre is an audio genre analyzer built for music that no catalog has heard yet. You upload an audio file (MP3, WAV, FLAC, M4A, OGG and others) or paste a single YouTube or SoundCloud link, and a neural network trained on more than 20,000 expert-curated tracks scores the recording against 54 canonical genre labels. Results come back as a ranked list with confidence percentages rather than one fixed tag, which makes genre blends visible instead of hiding them behind a single wrong answer. Most tracks finish in under 15 seconds. The tool is aimed at producers, DJs, labels and playlist curators working with demos, bounces, remixes and client material that is not in any database. That is the distinction FindGenre draws for itself: catalog lookups like Tunebat are free and instant for released songs, while FindGenre reads the audio, so it works on a track that has never been published. An optional pass adds BPM with its own confidence score, musical key in standard notation, loudness in RMS and LUFS, spectral centroid, bandwidth, roll-off, zero-crossing rate and dynamic range, though the extra features add processing time. In practice the workflow is short. Create a free account, spend one of the two starter analyses, and read the ranked output along with agreement, margin and certainty metrics that tell you how much to trust the call. Every analysis is saved to a private history so you can revisit a breakdown later, and the site publishes an anonymized live feed of recent results, including the cases where the model was not sure. Tracks are analyzed and discarded rather than stored. Pricing runs on tokens rather than a subscription: one token buys one analysis, packages start at $5 for 5 tokens ($1.00 each) and drop to $0.83 per token on larger bundles that include bonus tokens. Tokens never expire and failures caused by the service return the token automatically. If your track is already released and tagged, a free catalog lookup is the more sensible first stop.
Every new account receives 2 free analysis tokens with no credit card required, which is enough to test the genre breakdown and optional audio features on a couple of your own tracks.
Learn moreToken based, no subscription. 5 tokens cost $5 at $1.00 per analysis; larger packs (12, 30 and 60 tokens) include bonus tokens and bring the rate down to $0.83 per analysis. New accounts get 2 free tokens, tokens never expire, and failed analyses are refunded automatically. Payment runs through Stripe.
Learn moreSupport is handled by email; the homepage lists no help centre, live chat or phone channel. Failed analyses caused by a service fault return the token automatically without a ticket.
Input is limited to direct audio uploads plus single YouTube or SoundCloud links. No third party integrations or API are documented on the homepage.
Ranks a track across 54 canonical genre labels with confidence percentages and reports agreement, margin and certainty for each result. Optional audio analysis adds BPM with tempo confidence, musical key, RMS and LUFS loudness, spectral centroid, bandwidth, roll-off, zero-crossing rate and dynamic range. Accepts uploaded files or single YouTube and SoundCloud links, returns results in under 15 seconds on most tracks, and keeps a private history of past analyses.
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