BPM (Beats Per Minute) measures the tempo of music — how fast or slow a track feels. It's the fundamental pulse that makes you tap your foot or nod your head. DJs use BPM to beat-match tracks seamlessly during transitions. Music producers use BPM to ensure layered elements lock into the same groove. Fitness instructors select tracks with specific BPM ranges to match workout intensity. Knowing the BPM helps you categorize, mix, and understand music on a deeper level.

Our detector uses onset detection algorithms combined with interval histogram analysis to identify the most consistent rhythmic pulse in your audio. For tracks with a clear, steady beat (electronic, pop, hip-hop, rock), accuracy is typically within ±1 BPM. For music with complex rhythms, tempo changes, or very sparse percussion (ambient, classical), results may vary. We also display alternative BPM candidates (half-speed or double-speed) so you can choose the most musically sensible tempo. The confidence tag helps you gauge result reliability at a glance.

We support all major audio formats that modern browsers can decode natively: MP3, WAV, OGG/Vorbis, FLAC, AAC, M4A, AIFF, Opus, and WebM audio. The tool uses the browser's built-in audio decoder, so compatibility may vary slightly between Chrome, Firefox, Safari, and Edge. For best results, use standard 16-bit or 24-bit files at common sample rates (44.1kHz or 48kHz). Maximum file size is 100MB. Multi-channel files are automatically downmixed to mono for analysis.

This is a common challenge in automated BPM detection known as the "octave ambiguity" problem. If a track has strong off-beat accents or syncopated rhythms, the algorithm may lock onto the half-note pulse (half the true BPM) or the eighth-note pulse (double the true BPM). For example, a 128 BPM house track might be detected as 64 BPM or 256 BPM. We mitigate this by searching within musically reasonable ranges (60–200 BPM) and showing alternative candidates. If you see 64 BPM for an electronic track, try doubling it to 128 BPM — that's likely the correct tempo.

BPM is the DJ's most essential mixing tool. Harmonic mixing works best when tracks are within 5-8 BPM of each other. Use the detected BPM to: (1) Sort your library by tempo for smoother set planning; (2) Calculate pitch adjustments needed to beat-match two tracks; (3) Identify energy levels — faster BPM generally means higher energy on the dancefloor; (4) Create genre-appropriate playlists (house: 120-130, techno: 130-145, drum & bass: 160-180). Knowing the exact BPM before loading a track saves precious seconds during a live set.

Genre	BPM Range	Typical
Dub / Reggae	60–90	70–75
Hip-Hop / Trap	65–105	80–95
R&B / Soul	70–100	85–95
Pop	90–130	100–120
House / Deep House	115–130	122–128
Techno	125–150	130–140
Trance	128–150	135–140
Dubstep	130–150	140
Drum & Bass	160–180	170–175
Hardcore / Gabber	170–220	180–200
Rock / Indie	90–140	110–130
Metal	100–180	120–160

Our algorithm processes audio in several stages: (1) Downmixing — stereo is combined to mono for simplified analysis. (2) Framing — audio is divided into short overlapping frames (~20ms each). (3) Energy envelope — RMS energy is calculated per frame to create a loudness contour. (4) Onset detection — we detect moments where energy spikes upward, indicating potential beats. (5) Interval histogram — time gaps between consecutive onsets are collected and binned. (6) Peak selection — the most frequent interval within the 60–200 BPM range is identified as the dominant tempo. This method is robust against noise and works well for most modern music.

No. All processing happens entirely in your browser using the Web Audio API. Your audio file is never uploaded to any server. The file stays on your device, and the BPM analysis runs locally. This means your music remains completely private and secure. It also means the tool works offline once the page is loaded — no internet connection is required for the actual BPM detection.

This tool is designed for uploaded audio files. To detect BPM from YouTube, SoundCloud, or other streaming sources, you would first need to record or download the audio segment as a file (where legally permitted), then upload it here. Some browser extensions can capture streaming audio, but those are third-party solutions. We recommend using properly licensed audio files for the most reliable results.

• Use high-quality files — 320kbps MP3, FLAC, or WAV yield better results than low-bitrate files.
• Choose tracks with clear percussion — kick drums, snares, and hi-hats help the algorithm lock onto the beat.
• Avoid very short clips — at least 10–15 seconds of audio gives the detector enough data to work with.
• Check alternative BPMs — if the result seems off, click the alternative BPM tag to switch to half-speed or double-speed.
• Use the waveform visualization — red beat markers on the waveform let you visually verify if the detection aligns with actual transients.
• For variable-tempo tracks — the detector reports the most consistent tempo. Live recordings or classical pieces with rubato may produce less reliable results.