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Free Voice Cleaner

One click to clean up a podcast, interview, or voice memo: rumble cut, speech-tuned denoise, and loudness normalization in one pass.

Voice cleanup
denoise + normalize
  1. File
  2. Run
  3. Result

One click

No settings to tune — just upload and clean.

Speech-tuned

Built specifically for voice, not music.

No sign-up

No account, no email, no watermark. Up to 80MB and 1 hour.

Why clean up a voice recording?

A clean voice recording is easier to understand and sounds noticeably more professional than one buried under hiss, hum, or rumble — the difference shows up immediately to a listener, even if they couldn't name what was wrong with the noisy version. Cleaning up background noise and evening out loudness helps podcasts, interviews, meeting recordings, narration, and voice memos all sound like they came from the same consistent setup, without touching how the speaker actually sounds.

How to clean up a voice recording

  1. Upload an AAC, AIFF, FLAC, M4A, MP3, OGG, or WAV speech recording.
  2. The chain runs automatically — rumble cut, denoise, then normalize.
  3. Download the cleaned result.

What it fixes

Most rough voice recordings share the same problems: low-frequency rumble from handling noise or AC hum, a hiss or hum sitting under the voice, and inconsistent loudness between takes. This tool runs a fixed chain built to fix exactly those issues — cut the rumble, denoise the rest, then normalize levels — with nothing to configure. Steady background sources like a computer fan, an air conditioner, or a microphone's own self-noise generally fall into that same hiss/hum/rumble category the chain is built to handle.

Best for: podcasts, phone recordings, interviews, Zoom recordings, voice memos, narration, audiobooks, online courses, dictation, lectures, and any other speech-only audio. For music or general noise reduction with adjustable strength, use the Noise Remover instead.

What this doesn't fix

This chain targets rumble, hiss/hum, and loudness — it doesn't address echo or reverb, since that's a different kind of problem entirely (repeated or trailing reflections, rather than steady background noise). It also can't recover audio that's severely clipped or distorted at the source, separate two people talking over each other, or remove background music sitting under a voice — cleanup can improve a noisy recording, but it can't reconstruct data that was never captured or isolate speech from another full audio source layered underneath it. If echo is the issue, the Echo Remover handles mild room echo and slap-back separately.

Voice Cleaner vs. Noise Remover

ComparisonVoice CleanerNoise Remover
Best forSpeech onlyAny audio — music, field recordings, speech
ControlOne click, fixed chainAdjustable reduction strength
What it doesRumble cut + denoise + normalizeDenoise only
Typical use casePodcasts, interviews, voice memosMusic demos, field recordings, mixed content

Want the full breakdown of why cleanup order matters and what each stage actually does? Read Podcast Audio Cleanup: A Practical Checklist.

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