BPM Finder & Tempo Counter
AudioKit's free BPM finder detects the exact tempo of any song or MP3 — right in your browser, with no upload. Whether you call it a BPM counter, tempo detector, or beats-per-minute calculator, it analyses the whole track for an accurate reading, with decimal precision and half/double-time alternatives.
How it works
- Drop your audio file. MP3, WAV, FLAC, OGG or M4A up to 200 MB — it's decoded locally, nothing is uploaded.
- Let the analysis run. AudioKit scans the entire track and extracts the dominant tempo with decimal precision.
- Read your BPM. The detected tempo is displayed with half-time and double-time alternatives, plus tempo-synced reverb decay times.
Features
- 100% in your browser. Your track never leaves your computer — the analysis runs locally with the Web Audio API.
- Tap tempo built-in. No file at hand? Tap the space bar (or the pad) in rhythm and read the BPM live — handy to measure a song playing anywhere else.
- Analyze from a browser tab. On desktop Chrome or Edge, capture the audio of a tab playing YouTube or Spotify and get its BPM — nothing is sent to our servers.
- Whole-track analysis. The full song is analyzed, so an unusual intro or a breakdown won't skew the result.
- Half-time / double-time alternatives. Switch between octave-related tempos (e.g. 85 / 170 BPM) in one click.
- Reverb decay table. Tempo-synced reverb decay times computed from the detected BPM, ready to dial into your plugin.
Find the BPM of a YouTube song
On desktop Chrome or Edge, you don't need to download anything: play the song on YouTube (or Spotify Web, SoundCloud…), click Analyze from a tab above, share the tab that's playing and keep “Also share tab audio” checked. AudioKit listens for about 20 seconds and detects the tempo — the audio is analyzed locally in your browser, nothing is recorded, extracted or sent to our servers.
On mobile, or in a browser that can't share tab audio (Firefox, Safari), use the tap tempo instead: press the pad — or your space bar — in time with the beat while the song plays, and read the BPM live.
FAQ
Is this BPM finder free?
Yes. Anonymous users get 5 free analyses per day across AudioKit's free tools — no account needed. If you need more, AudioKit Premium removes the daily limit. There's no watermark and no feature lock: the free analysis is the full analysis.
Is my audio file uploaded to a server?
No. The detection runs entirely in your browser using the Web Audio API: your file is decoded and analyzed on your own machine and never leaves it. The only network call is a tiny anonymous counter that tracks your daily free quota.
Which audio formats are supported?
MP3, WAV, FLAC, OGG and M4A files up to 200 MB. That covers everything from a quick phone bounce to a full-length lossless master. If your file is in another format, run it through our free audio converter first.
How accurate is the BPM detection?
The detector analyzes the whole track, not just a short excerpt, so an atypical intro or breakdown won't skew the result, and it reports the tempo with decimal precision. Steady, quantized productions are detected very reliably; live recordings with tempo drift are reported at their dominant tempo.
Why do I see two tempos, like 85 and 170 BPM?
Both are musically correct — they're the same groove counted in half-time or double-time. Tempo detection can't decide how you feel the pulse, so AudioKit shows the half and double alternatives and lets you promote the one that matches your project. Hip-hop and drum & bass often live in this ambiguity.
How do I find the BPM of an MP3?
Drag your MP3 (or WAV, FLAC, M4A) into the BPM finder above. The tool analyses the entire track in your browser — nothing is uploaded — and returns the exact tempo in beats per minute, with decimal precision and half-time / double-time alternatives. It works with any audio file, no installation or sign-up needed.
What's the difference between a BPM finder, counter and detector?
They all do the same thing — measure a song's tempo in beats per minute. A BPM counter sometimes refers to manually tapping along to the beat, while a BPM finder or tempo detector analyses the audio automatically. AudioKit detects the BPM automatically from the full track, so you get an accurate result without tapping.