Files processed in this browser지원되는 형식
RNNoise 신경 잡음 제거

오디오 잡음 감소기

RNNoise 신경망을 사용하면 브라우저에서 음성 녹음의 팬, HVAC, 실내 및 키보드 소음을 완전히 억제할 수 있습니다.

파일 업로드 없음RN노이즈 WASM무손실 48kHz WAV

AI 음성 향상

RNNoise는 배경 소음에서 음성을 분리합니다.

강도 조절 가능

가볍거나 균형 잡힌 또는 강한 억제

비공개 디자인

파일이 이 기기를 떠나지 않습니다.

1단계

정리할 오디오 추가

인터뷰, 팟캐스트, 레슨, 회의, 음성 메모에 적합합니다.

Audio denoising guide

Which audio formats are supported?

Add common MP3, WAV, M4A, AAC, FLAC, OGG, Opus, AIFF, and WMA audio files. Decoding depends on the codec inside the file and browser support. Results are exported as lossless 48 kHz WAV to avoid another lossy encode.

MP3

A familiar format for voice notes, podcasts, and everyday sharing.

WAV / AIFF

Uncompressed PCM for editing, interviews, and recordings where detail matters.

M4A / AAC

Common for phone recordings, Apple devices, and meeting captures.

FLAC / OGG / Opus

Useful for lossless archives, web audio, and efficient speech workflows.

How to remove background noise from audio online

There is nothing to install and no file upload. The RNNoise model runs in a dedicated browser Worker so the interface stays responsive while longer recordings are processed.

  1. 01

    Add a recording

    Drop in a file or browse your computer or phone. Listen to the original first and make sure the recording is mainly speech.

  2. 02

    Choose a reduction strength

    Balanced works for most speech. Start with Light when music, natural ambience, or more room tone should remain.

  3. 03

    Denoise and compare

    Review the before-and-after waveform and listen to both versions. Lower the strength and generate again if speech sounds unnatural.

  4. 04

    다운로드 lossless WAV

    다운로드 the result for editing, transcription, or conversion. Keep the original file so you can always return to it.

일반적인 사용 사례

This tool is designed for steady noise in voice recordings. It is not a universal repair tool for every audio problem.

Podcasts and narration

Reduce microphone hiss, computer fans, or HVAC sound to make spoken recordings clearer.

Interviews and meetings

Improve indoor device noise and light keyboard sounds so conversations are easier to review and transcribe.

Online courses and tutorials

Clean steady noise from screen-recording narration, lessons, voiceovers, or voice notes.

Remote work and voice messages

Tidy headset microphone background noise before you share, archive, or submit a recording.

Your audio never leaves your device

The browser decodes your file locally. RNNoise inference and WAV export run in a dedicated Web Worker. Nothing is uploaded to MediaKit servers or copied to the cloud. Removing a file, closing the tab, or cancelling a job releases local object URLs and the Worker.

FAQ

Audio noise reduction FAQ

Are my files uploaded to a server?

No. The selected file is read, processed, and exported in the browser on this device. It is never sent to MediaKit servers.

Why is Balanced recommended?

RNNoise is designed mainly for speech. Balanced usually lowers steady fans, HVAC, and hiss while keeping speech natural. Start with Light when noise is modest or music is present.

Can it remove echo, multiple speakers, or clipping?

Results are limited for those issues. Steady background noise is the best fit; heavy room echo, overlapping speakers, severe clipping, or distance-related distortion cannot be fully restored.

Why is the output WAV?

WAV does not introduce another lossy encode, making it a good choice for editing or archiving. Use the audio converter afterward for MP3, M4A, or Opus sharing copies.

Can I use a long recording or a phone?

Yes, but the browser must decode the audio and keep processing memory available. Keep the page open, close memory-heavy tabs, and use a recent browser for longer recordings.

Why can I still use the page while it processes?

RNNoise inference and WAV writing run in a dedicated Worker instead of React’s rendering thread. That is also why this page does not need to download FFmpeg.

오디오 작업을 계속하세요

How to remove background noise from audioLearn about noise types, a sensible processing order, and how to keep speech natural after denoising.가이드 읽기

오디오 작업 흐름을 계속하세요