Audio

BPM Detector

Detect beats per minute from any audio file using Web Audio API. Or use the tap-tempo button.

Loading interactive tool…

Embed this tool on your site

About this tool

BPM Detector analyzes uploaded audio files to determine their tempo in beats per minute (BPM). It works entirely in your browser using the Web Audio API — your music file never leaves your device. Upload an MP3 or WAV, click Detect BPM, and the tool analyzes the onset envelope to find the beat frequency. A tap-tempo fallback lets you tap along to any music to get an instant BPM reading.

Why use it

  • Runs entirely in your browser — audio stays on your device

  • Fast analysis using the Web Audio API

  • Tap-tempo fallback for any source

  • Shows half-time and double-time variants

  • No registration required

How to use

  1. Choose an MP3, WAV or other browser-supported audio file with the file picker
  2. Click 'Detect BPM'
  3. Wait for analysis (usually 1-3 seconds)
  4. Read the detected BPM value and the half-time / double-time line below it
  5. Or: tap the TAP button repeatedly in time with any music for tap-tempo BPM

When it helps

  • DJs matching tracks by tempo for seamless mixes
  • Musicians learning a song's tempo
  • Fitness apps syncing music to workout cadence
  • Music producers sampling or remixing
  • Dancers matching footwork to music BPM

Examples

Detect tempo of a house track

Input

4-min MP3 house track at 124 BPM

Expected result

Detected 124 BPM with half-time 62 BPM and double-time 248 BPM options

Tap-tempo a live band performance

Input

User taps the TAP button 12 times in time with a live drummer

Expected result

Stable running average around 96 BPM after the first 6 taps

Trap beat with half-time feel

Input

WAV trap instrumental, perceived 70 BPM

Expected result

Detector may report 140 BPM; the half-time line under the result shows 70 BPM, the intended tempo

Tips

  • For best accuracy, upload at least 30 seconds of audio — the longer the sample, the more confident the detected BPM.
  • If the result feels wrong, tap tempo a few bars yourself and compare; sometimes the algorithm picks the snare rather than the kick.
  • Hip-hop, drum-and-bass and trap often confuse single-pass detectors — always check the half-time variant.
  • Trim the song to a section with steady drums (no breakdown, no intro) before running detection.
  • Tap at least 8 times for a stable tap-tempo reading — fewer taps amplify timing jitter.
  • Live cues like clapping or stomping make great tap-tempo sources when you don't have an audio file handy.

Frequently Asked Questions

Is my audio file uploaded to a server?
No. Analysis happens entirely in your browser using the Web Audio API. Your audio file never leaves your device.
How accurate is the BPM detection?
The algorithm works well for music with a clear beat (electronic, pop, rock). It may be less accurate for complex jazz or classical music.
What file formats work?
Any audio format your browser supports: MP3, WAV, OGG, M4A, FLAC. The exact support depends on your browser.
What's tap tempo?
You tap a button repeatedly in time with the music. The tool averages the intervals between your taps to compute BPM. It works for any audio source — even live music.
Why does it show half-time and double-time?
Many songs can be perceived at different tempo 'layers'. Half-time is half the detected BPM (useful if the algorithm found the double-time), and double-time is twice the BPM.
What does 'envelope' mean in BPM detection?
The envelope is the smoothed amplitude over time. Peaks in the envelope (loud transients) indicate beats, and the spacing between peaks gives the BPM.
Will it work on a 1-second clip?
Clips shorter than ~10 seconds may not have enough beats for accurate detection. Longer clips (30+ seconds) give better results.
Can I detect BPM from a microphone?
The current tool works on uploaded files. Tap tempo is the best option for live audio.

Explore the category

Speech to Text Transcribe live microphone speech with your browser's Web Speech API, or the first 30 seconds of an audio file with Whisper Tiny running in your browser. Normalize Audio (LUFS) Normalize loudness of MP3, WAV, M4A, OGG and FLAC files using ffmpeg loudnorm (EBU R128). Hit Spotify, podcast or broadcast targets — runs locally via ffmpeg.wasm. Audio Reverser Reverse any audio file so it plays backwards. Drop MP3, WAV, M4A, OGG or FLAC, choose output format, and download. ffmpeg.wasm areverse — no upload. Extract Audio from Video Extract and save the audio track from any MP4, MOV or WebM video as MP3, WAV or OGG. Fully browser-based. MP3 Cutter & Audio Trimmer Trim or cut uploaded audio with draggable waveform handles, precise preview, undo, and exports to WAV, MP3, M4A, OGG, or FLAC. Audio Compressor Shrink MP3, WAV, M4A, OGG and FLAC files by re-encoding at a lower bitrate. Choose 32–320 kbps, pick MP3, OGG or M4A output, then download. 100% browser-side via ffmpeg.wasm.
How BPM Detection Algorithms Find the Beat Tempo detection sounds easy until you try it. From onset detection to autocorrelation and modern neural beat trackers, we walk through how c Mar 2026 · 9 min Why Browser Vocal Removers Sound Worse Than AI Tools (And When That's OK) A free browser vocal remover does center-channel cancellation in ten lines of JavaScript. An AI tool runs a neural network trained on tens o Apr 2026 · 9 min

Glossary

BPM (beats per minute)
How many musical beats occur in one minute. The standard tempo measurement across DJing, fitness, music notation and audio production.
Tempo
The speed of music. Measured in BPM. Slow ballads sit around 60–80 BPM; club tracks usually 120–135 BPM; drum-and-bass 160–180 BPM.
Onset detection
An algorithm that finds the times at which note attacks (beats, hits, transients) occur in an audio signal.
Envelope
A smoothed curve of audio amplitude over time. Peaks in the envelope correspond to loud transients like kick-drum hits.
Inter-onset interval
The time between consecutive detected peaks. This tool takes the median gap between envelope peaks, converts it to BPM (60 ÷ gap), then doubles results under 60 or halves results over 200.
Web Audio API
Browser API for low-level audio processing. Used to decode audio files into raw samples for analysis.
Sample rate
Samples per second of audio data (typically 44.1 kHz or 48 kHz). Affects how much detail the analysis sees.
Half-time / double-time
Tempo perceptions where the felt beat is half or twice the detected pulse rate. Common in hip-hop, drum-and-bass and trap.
A LITTLE HELP. A LOT DONE.
Good tools.
Great flow.

Your shortcut to the everyday. Create, convert, calculate,
and get back to what you love.

✓ Free to use✓ No sign-up✓ 500+ possibilities