PixThru

Remove Background Noise From Audio — Free, No Upload

Clean hiss, fans, AC and hum out of recordings with a professional FFT denoiser — free, in your browser, nothing uploaded.

Strength

Drop your recording here or click to choose

cleaned on your device — your recording is never uploaded

ℹ️ Removes steady background noise: hiss, fans, air conditioning, electrical hum, room rumble. It won't remove people talking or music in the background — no honest tool can without damaging the voice.

Most recordings aren't ruined by the microphone — they're ruined by the room: the laptop fan, the air conditioner, the refrigerator hum you stopped hearing years ago but your recording didn't. The popular fixes are either paid (Adobe Podcast, Descript) or a website that wants your — possibly private — recording uploaded to its servers.

This tool runs FFmpeg's professional FFT denoiser (afftdn, the same filter used in real production pipelines) directly in your browser, with a before/after player so you can hear exactly what changed. Three strengths: Light for gentle hiss, Medium for fans and AC, Strong for loud steady noise — the stronger settings also cut low-frequency hum. And the honest part, printed right on the page: it removes steady noise. People talking in the background, barking dogs, clattering dishes — no honest tool removes those without mangling the voice.

Frequently asked questions

What kinds of noise does it actually remove?
Constant, steady noise: hiss, fan and AC drone, electrical hum (50/60Hz), room rumble, computer noise. These make up most of what ruins voice recordings.
What can't it remove?
Intermittent sounds — background conversations, traffic horns, dogs, keyboard clacks. Removing those requires AI source separation that damages voice quality; tools claiming otherwise are overselling.
Which strength should I pick?
Start with Medium. If the voice starts sounding underwater or robotic, step down to Light — over-denoising sounds worse than mild background hiss. Strong is for genuinely loud constant noise.
Does this improve transcription accuracy?
Noticeably, yes — steady noise is a top cause of transcription errors. Clean the audio here, then run it through our Audio to Text tool; both run privately on your device.

Guides

Related tools

🔒 Your files are processed on your device. This tool runs entirely in your browser — nothing is uploaded.