Free AI Voice Cleaner & Background Noise Remover

It takes a recording where speech is buried under noise (traffic, wind, room hum, air conditioning, crowd chatter, keyboard clicks, hiss) and separates the voice from everything else. You get two tracks: the cleaned voice, and the noise and artifacts that were removed, so nothing is thrown away blindly.

Under the hood it is an AI speech enhancement model trained on thousands of hours of noisy speech. It learns what a human voice sounds like and what it does not, and rebuilds the voice without the junk around it.

Anything with spoken voice: interviews, podcasts, lectures, meetings, voice memos, phone recordings, YouTube talks, field recordings, old archive speeches, Zoom calls. It works on mono and stereo files and on long recordings, not just short clips.

It is built for speech. If you need to pull vocals out of a song or separate instruments, use our free stem splitter instead. That is a different model trained for music.

Yes. Upload, clean, listen and download the MP3 without paying or creating an account. No watermarks, no time-limited previews, no locked downloads on your first clean.

SoundBoost Plus adds unlimited cleaning, recordings up to 2 hours, full transcripts (the free tool transcribes the first 30 seconds) and HD WAV exports; the free tier is meant to be genuinely useful for everyone else.

A few seconds for a voice memo, well under a minute for an hour-long recording. The model runs on GPUs, so you are not waiting on your laptop.

You see the cleaned voice the moment it is ready and can start listening while the artifact track finishes uploading.

Yes. Paste a YouTube or SoundCloud link and we fetch the audio and clean it. Handy for talks, interviews, lectures and podcast episodes you want to hear clearly without downloading anything first.

It opens in SoundBoost Studio, right in your browser. You get two channels: Voice (the cleaned speech) and Artifacts (what was removed). The artifact channel starts muted, so you hear the clean result first; unmute it to A/B what the AI took out, or blend a little back in if you want a more natural room sound.

From there you can loop a section, change tempo or pitch, export MP3 or WAV, or send the clean voice straight to mastering.

Because a noise remover that hides what it removed is a black box. The artifact track is literally the difference between your original and the cleaned voice: traffic, hum, hiss, reverb tails, sometimes a sibilant that the model trimmed too hard. Listening to it tells you immediately whether the clean is trustworthy.

It is also useful on its own: sound designers and podcasters pull room tone and ambience from it, and mixing a few percent back under the voice keeps speech from sounding over-processed.

Yes. Drag across the waveform to select a section, loop it to check it, then export only that range as MP3 or WAV. Perfect for cutting a clean quote out of a long interview or a single answer out of a meeting.

MP3, WAV, AIFF, AAC, FLAC, ALAC, OGG and OPUS, plus common video containers (MP4, MOV, WEBM, MKV), and we extract the audio track for you. Files up to 750MB and recordings up to 22 minutes 30 seconds are supported on the free tool; SoundBoost Plus members can clean recordings up to 2 hours.

Cleaner input gives a cleaner output: if you have the original lossless recording, use it rather than a re-encoded copy.

Your recording stays your recording. We do not train models on your uploads, we do not share files with third parties, and we do not listen to what you upload. Interviews, meetings and voice notes are treated like a confidential session.

It reduces room reverb, echo and hum alongside stationary noise like hiss, fans and traffic, and suppresses non-stationary noise such as keyboard clicks and crowd chatter. Heavy, long reverb and overlapping voices are the hardest cases. The model will still help, but check the artifact track to see what was pulled out.

If you own the recording or have permission to use it, yes: podcasts, videos, courses, archives, client work. Cleaning a recording does not change who owns it; if the content belongs to someone else, sort out the rights first.