Clean voice, no noise —
right in the browser
Real-time AI noise suppression for calls, streams and recording. The neural model runs on-device (privacy), with observability, AutoGain and an offline cache.
Why Peito Denoise
More than just "killing noise" — it lets you see and control the pipeline.
DFN3 neural model
DeepFilterNet3 via onnxruntime-web. Preserves speech, removes noise. Multithreaded wasm inference at ~3 ms/frame — comfortably faster than realtime.
Observability
Live metrics (reduction, latency, VAD, xrun), distortion detectors, input/output spectrograms, WAV dump.
AutoGain and high-pass
AutoGain brings quiet speech up to a target level (VAD gate + lookahead limiter), while the input high-pass cuts mic wind, rumble and handling noise before the model.
Low latency
Buffer priming and model warm-up keep end-to-end latency at ~60 ms — no clicks, drops or underruns.
Offline cache
Preloading wasm and models into CacheStorage — instant restart and offline operation.
Integrations
LiveKit TrackProcessor, simple MediaStreamTrack→Track, bare AudioWorkletNode. Works in Electron/Capacitor.
Pricing
Licenses activate online: the server issues models by key, and revocation takes effect instantly. Bound to domains and a term, managed from the dashboard. Online payment is coming soon — Trial is available right away; for paid plans, email sales@peito.ru.
- 1 domain, 14 days
- dfn3 neural backend + AutoGain
- spectral DSP backend
- Debug panel and metrics
- Up to 5 domains + wildcard
- dfn3 neural backend + AutoGain
- Offline cache and preloading
- Priority support
- Everything in Pro
- Up to 100 domains + wildcard
- SLA and integration support
Ready to hear the difference?
Launch the demo bench right now — with your microphone or test files.
Open the demo bench