Find the chords in an MP3

Drop an audio file and Jam Jam pulls out its time-stamped chords, key, tempo and section structure — without uploading a thing.

Free · works in your browser · no sign-up
Find the chords in an MP3

You have the track as an mp3, but not its chords. Drop the file into the Audio file tab of Jam Jam detection: a BTC model — an embedded chord transformer — goes through the whole thing and returns time-stamped chords, an estimated key, the tempo and the song structure in sections, with the repeats it spots. 14 chord qualities across all 12 keys, 168 chords in total. Everything is computed in your browser or on your phone: the file never leaves your device. One tap then sends the song to your chord notebook, where you edit it, transpose it and export it as a PDF.

How to get chords from an audio file

Drop your file

Drag in an mp3, m4a, wav or flac — nothing is uploaded, the analysis runs on your own device.

Let the model listen

The BTC model goes through the whole track and pulls out time-stamped chords, the key and the tempo.

Move through the timeline

Tap any chord on the timeline and playback jumps there, so you can check each passage by ear.

Send it to your notebook

One tap and the song lands in your notebook, title pre-filled, ready to transpose and export as a PDF.

Your file never leaves your device

Fully on-device analysis

The mp3 stays with you: the work runs in a Web Worker in your browser, or in the app’s native module. Nothing is uploaded, no server ever hears your music.

A real chord model

A bidirectional BTC transformer, fed by a CQT front-end at 22,050 Hz over 144 bands, recognises 14 qualities across the 12 keys — 168 chords. The same model on web and mobile.

More than a chord grid

You also get the estimated key, the tempo in BPM and the section structure with its detected repeats — enough to understand the track, not just replay it.

The song keeps going

The analysis is not a throwaway result: it becomes a song in your notebook, editable, transposable from −6 to +6 semitones and exportable as a PDF.

Why this analysis

  • Time-stamped chords, key, tempo and sections in one pass
  • 14 chord qualities on the 12 keys — 168 chords recognised
  • Clickable timeline: tap a chord and playback jumps there
  • On web, Android and iOS — your file is never uploaded

An online analyser hands you a grid and stops there. Here the track you drop becomes a song in your notebook: you fix a doubtful chord, transpose it for your voice, ask for the most comfortable capo, add the lyrics, export a PDF for rehearsal. The key it reads can also lock the online keyboard, and the diagrams follow the instrument you play. That chain — file, notebook, keyboard, PDF — is the difference, not the recognition alone.

Analyse an audio file →

Audio file chords FAQ

Is my file uploaded to a server?

No. The analysis runs entirely on your device — in your browser or in the app — and the file is never uploaded. It is free and needs no sign-up.

Which formats can I drop?

On the web, anything your browser can decode. In the mobile app: mp3, m4a, aac, wav, flac and ogg. You drop the file as it is, with no conversion first.

Does it work on a phone?

Yes: on the web, on Android and on iOS, with the same model. The mobile app can also transcribe the lyrics; keeping a history of analysed files is a premium feature.