Audio Noise Remover

Remove background noise from voice recordings using free AI - unlimited, nothing uploaded.

Drop an audio file here

MP3, WAV, M4A, OGG, FLAC — voice recordings work best

100% private — processed on your device, nothing uploaded

The Same Kind of AI Noise Suppression, Without the Subscription

Recording clean audio without an expensive microphone or a treated room is hard — fan noise, traffic, and room echo creep into almost every voice recording. Several popular web tools remove this kind of noise using AI, but charge a recurring subscription once your free quota runs out. This tool uses the same class of model — RNNoise, a well-established open-source noise-suppression network — running for free, directly in your browser.

How It Works

  • 1. Upload

    Drop in a voice recording — MP3, WAV, M4A, OGG, or FLAC.

  • 2. AI Denoising

    RNNoise analyzes the audio in short frames and separates speech from steady background noise.

  • 3. Compare

    Play the original and the cleaned result side by side before deciding.

  • 4. Download

    Save the denoised result as a WAV file, ready to use.

Best For

  • Podcast and interview recordings with fan, AC, or room noise
  • Voice memos and phone recordings made in noisy environments
  • Video call or screen-recording audio before publishing
  • Cleaning up voiceovers recorded without a treated room

Frequently Asked Questions

It uses RNNoise, an open-source AI model trained specifically to separate speech from background noise, running entirely in your browser via WebAssembly. There's no server-side processing and no upload — the model runs on your own device.

Yes, completely free with no daily limit, no account, and no watermark. Many similar tools charge a monthly subscription for unlimited use — this runs the same class of noise-suppression model locally, at no cost.

RNNoise is tuned for steady background noise — fan hum, air conditioning, room tone, keyboard clatter, traffic — while preserving speech. It works best on voice recordings; it is not designed for music.

It blends between the original audio (0%) and the fully denoised result (100%). Very aggressive noise removal can occasionally make speech sound slightly processed — lowering the strength blends in a bit of the original, natural sound if that happens.

WAV is used for the output because it's lossless and needs no extra audio encoder, which keeps the tool small and fast. You can convert the resulting WAV to MP3 with any audio converter if you need a smaller file.

The audio is downmixed to mono before noise removal, since RNNoise processes a single channel and most voice recordings (podcasts, interviews, voice memos) are effectively mono content anyway.

No. Decoding, noise removal, and the final WAV file are all produced locally in your browser. Your audio file never leaves your device.