Brizm
أداة البحث عن حركات BPM في الدقيقة
Detect the tempo of any track with accurate BPM detection. Runs on your device — files never uploaded.
Drop audio file here or click to browse
Max 30MB · MP3, WAV, FLAC, OGG, M4A
Private — processed on your device, never uploaded
How to Find the BPM of a Song
- 1 Upload an audio file (MP3, WAV, FLAC, OGG, M4A)
- 2 Neural network analyzes beat activations in seconds
- 3 Get BPM with 0.1 BPM accuracy plus beat positions
Frequently Asked Questions
How accurate is the BPM detection?
Within 0.1 BPM for electronic and pop music. Brizm uses a neural network that analyzes frame-by-frame beat activations with a dynamic Bayesian network for tempo continuity. Accuracy may decrease on rubato, free-tempo jazz, or very slow ambient tracks.
Why does it show two BPM values?
Most rhythmic audio has inherent metric ambiguity. The algorithm reports the dominant tempo and its double or half — for example, 120 BPM and 60 BPM are musically equivalent in many contexts. The primary value matches typical genre conventions.
Does it detect tempo changes within a track?
Yes. The neural network produces frame-by-frame beat activation probabilities, so tempo changes are naturally captured. The reported BPM is the dominant tempo across the entire file.
How does it work technically?
A neural network ensemble processes the audio spectrogram to produce beat activation probabilities per frame. A probabilistic decoder then converts these activations into a stable tempo estimate with beat positions.
What audio formats and lengths are supported?
MP3, WAV, FLAC, OGG, and M4A. No strict length limit, but accuracy is best on 15+ second segments. Very short clips may not provide enough rhythmic context for reliable detection.
Is my audio uploaded to a server?
No. The neural network runs directly on your device. Audio never leaves your machine — not even temporarily.
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