Detect the beats per minute (BPM) of any audio file online free. Upload a track and the analyzer estimates its tempo automatically from the audio's low-frequency beat pattern.
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Manually counting beats to find a track's tempo is slow and error-prone. This tool analyzes the low end of an uploaded file - where kick drums and bass typically sit - to estimate the beat interval and convert it to a BPM figure automatically, without needing a DJ app or manual counting.
Upload an audio file and this tool estimates its BPM (beats per minute) by analyzing low-frequency energy peaks in the track - it doesn't include a tap-tempo mode, key detection, or Camelot codes. Processing runs entirely in your browser using the Web Audio API; your file is never uploaded to a server.
Select an audio file with a clear, steady beat from your device.
The tool analyzes the audio's low-frequency energy pattern to estimate the BPM automatically.
View the detected tempo, a rough tempo label, and a genre-range guess.
If the number seems off, check whether doubling or halving it matches the tempo you expect.
Click the upload area and select an MP3, WAV, or OGG file with a clear beat.
The tool decodes the file and analyzes its low-frequency energy peaks automatically - there's no separate "start" button.
Review the detected BPM, its rough tempo label (like "Fast"), and the genre-range guess based on that BPM.
If the BPM seems off, check whether doubling or halving it matches the tempo you expect - simple beat-detection algorithms commonly land on half or double the true tempo.
Best For
Input
A 140 BPM drum-and-bass track with a strong half-time feelResult
Detected as 70 BPM instead of 140The detector picks the most prominent energy peaks in the low end, which can align with every other beat rather than every beat - a well-known limitation of simple beat-interval algorithms, not something this tool corrects for automatically.
Input
A track's audio, passed through the analyzerResult
The signal is low-pass filtered to below 200Hz before peak detectionThe tool isolates bass and kick-drum-range frequencies before looking for energy peaks, since that's usually where a beat is clearest - a track with its rhythm carried mostly in higher frequencies (hi-hats, vocals, synths) may not detect well.
Input
A track detected at 125 BPMResult
"Pop, House, Techno"The genre label is looked up from a fixed BPM-range table, not identified from the track's actual instrumentation or style - two very different-sounding tracks at the same BPM get the same genre label.
Use the estimate as a starting reference, then fine-tune or beatmatch by ear.
Get a quick BPM reading before deciding on a remix or sample tempo.
Compare the estimate against a target BPM range for running, cycling, or other paced activity.
Use the detector to confirm - or catch a half/double-time mismatch against - a BPM you already suspect.
Problem
Solution
There's no tap-along pad in this tool - only file upload is supported.
Problem
Solution
Only BPM is detected - there's no musical key, scale, or Camelot-wheel output.
Problem
Solution
It's a lookup from the detected BPM against a fixed range table, not an analysis of the track's actual sound.
Problem
Solution
Simple beat-interval detection commonly lands on half or double the real tempo - compare the result against what you expect before relying on it.
If the number looks off, try doubling or halving it - this is the most common error mode for simple BPM detectors like this one.
The analysis is based on low-frequency (sub-200Hz) energy peaks, so tracks with a strong, steady kick or bassline detect more reliably.
There's no confidence score - use the BPM as a starting point, especially for tracks with tempo changes or sparse percussion.
This tool only returns BPM - pair it with a dedicated key-detection tool if you need harmonic mixing data.
Only file upload is supported - there's no tap-along pad despite what some competing tools offer.
The tool returns BPM only - no musical key, scale, or Camelot-wheel code.
A single BPM number is returned with no indication of how certain the estimate is.
The energy-peak algorithm can lock onto every other beat or an implied double-beat, returning half or double the actual tempo - a known limitation of simple beat-interval detection, not something this tool automatically corrects.
The BPM is averaged from roughly the first 20 energy peaks found in the track, not the full song - a track that changes tempo partway through won't be reflected in the result.
The genre label comes from a fixed table keyed to the detected BPM, not from analyzing the track's actual instrumentation or style.
This tool only analyzes the audio file you upload - it doesn't look up a song's BPM by title or artist from an external database.
Both estimate tempo, but DJ software adds harmonic and confidence data this tool doesn't have.
| This Tool (BPM Detector) | DJ Software (Serato, Traktor, Rekordbox) | |
|---|---|---|
| Key/Camelot detection | Not available | Included, for harmonic mixing |
| Confidence indication | None - a single number only | Often shown alongside the BPM |
| Tap-tempo input | Not available - upload only | Usually available |
| Setup | None - upload a file in the browser | Requires installing DJ software |
Visitors mostly want to know how reliable the number is. This tool uses a straightforward energy-peak analysis on the track's low frequencies, not a specialized beat-tracking algorithm, so it works best on tracks with a clear, consistent, bass-heavy beat and can be thrown off by tempo changes, weak percussion, or ambiguous rhythms - like most simple BPM estimators, it can also land on half or double the real tempo.
BPM stands for Beats Per Minute - the number of rhythmic beats that occur in one minute. It is the standard measure of musical tempo. 60 BPM = one beat per second. 120 BPM = two beats per second (a common dance tempo). Slow ballads: 60–80 BPM. Walking pace: ~100 BPM. Pop and dance music: 110–130 BPM. House music: 120–130 BPM. Drum and bass: 160–180 BPM. Techno: 130–150 BPM.
It low-pass filters the audio to isolate frequencies below 200Hz (where kick drums and bass typically sit), measures short-time energy in 10-millisecond windows, and picks out energy peaks above 1.5x the average level. It then averages the interval between roughly the first 20 peaks it finds and converts that to a BPM figure. It's a straightforward energy-peak method, not a specialized beat-tracking algorithm, key-detection engine, or machine-learning model.
It works best on tracks with a clear, consistent, bass-heavy beat. Accuracy drops for music with tempo variations, complex polyrhythms, ambient or percussion-light tracks, and recordings with significant background noise. There's no confidence score - treat the result as an estimate, not a certified reading.
This tool's energy-peak method can lock onto every other beat, or an implied double-beat, as the fundamental interval. A 140 BPM drum and bass track might be detected as 70 BPM (half-time feel); a slow 70 BPM track might come back as 140. This is a known limitation of simple beat-interval detection, and this tool doesn't correct for it automatically - if the detected BPM seems wrong, check whether doubling or halving it gives the tempo you know the track to be.
No. This tool returns BPM only - there's no key detection, scale identification, or Camelot-wheel output.
No. There's no tap-tempo pad in this tool - it only works from an uploaded audio file.
No. CoditTools's BPM detector decodes and analyzes your file entirely in your browser using the Web Audio API - it's never uploaded to a server.
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