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Noise Reduction
Remove steady background noise from voice recordings with browser-based RNNoise processing.
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MP3, WAV, FLAC, M4A, OGG - up to 150 MB, processed locally
How to Remove Background Noise from Audio
Clean voice recordings with the AI noise reduction tool running in your browser.
Run AI Denoising
The RNNoise processor isolates speech and reduces common environmental noise.
Compare and Download
Adjust reduction strength, switch between original and cleaned audio, and export WAV.
Why Use This AI Audio Noise Reducer
Improve speech clarity without uploading private recordings to a remote editing service.
Speech-Focused AI Model
RNNoise is designed to reduce background noise while preserving intelligible voice.
Adjustable Reduction Strength
Blend the original and cleaned signals to avoid an overprocessed result.
Local and Private
Noise reduction runs in the browser, keeping supported audio on your device.
Improve Voice Recordings Without Erasing Detail
Noise reduction trades background suppression for voice naturalness. Preview that tradeoff before export, especially because the RNNoise processing path produces a mono 48 kHz WAV rather than preserving the source channel layout.
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Use it for voice-led material
Interviews, meetings, podcasts, and spoken notes are the best fit because RNNoise is designed around voice. Steady fan noise, hiss, hum, and traffic are easier to suppress than keyboard strikes, applause, overlapping music, or noise that resembles speech.
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Use the lowest effective strength
Compare the original and cleaned previews, then raise strength only until the background is acceptable. The slider blends dry and denoised signals; it does not rerun a stronger model. At 100%, artifacts and lost room tone are easiest to hear.
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Frequently asked questions
How does AI noise reduction remove background noise from audio?
It uses RNNoise, a recurrent-neural-network noise suppressor originally built for real-time voice calls. It runs as WebAssembly directly in your browser and is especially effective at removing steady background noise (fans, hiss, hum, traffic) while preserving speech.
What is the strength slider?
It blends the cleaned signal with the original. 100% is fully denoised; lower values mix back some of the original to sound more natural if the effect is too aggressive.
Does this upload my file?
No. The AI model runs entirely on your device via WebAssembly. Your audio never leaves your browser.
Why does noise reduction export a mono 48 kHz WAV?
RNNoise processes a single mono channel at 48 kHz, so the export is a mono 48 kHz WAV. It works best on voice recordings.
What kinds of background noise can this remove?
It is most useful for steady fan noise, hiss, hum, traffic, and similar background sound in voice-led recordings. Sudden noises and overlapping music are harder.
Why can noise reduction make speech sound metallic?
Artifacts appear when background noise overlaps the same frequencies and timing as speech, leaving the model little clean voice information to preserve. Preview consonants and quiet words carefully; keep the original when the processing damage outweighs the noise reduction.
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