Clean up podcast audio in minutes: Kleervox removes background noise from episodes and interviews and levels them to podcast loudness. Your episode is not uploaded for cleaning.
Guests join from kitchens and hotel rooms; hosts record next to a humming laptop. Listeners notice the noise long before they notice the content.
Clean before you edit, or clean the finished mix — both work. Set your format and loudness once and every episode after that comes out the same way.
The full episode or each speaker’s track — MP3, WAV, M4A, FLAC and more.
A speech-trained AI model removes the background while keeping each voice natural and present.
Levelled and limited to podcast loudness, so it sits right next to the other shows in the feed.
Choose the Podcast loudness target and the cleaned episode is measured and levelled to −16 LUFS with a true-peak limiter — one less trip through a separate mastering tool.
Voice clarity (on by default) trims low rumble and boxiness and adds presence, which suits spoken word.
Recorded each side separately? Clean every guest’s track on its own before mixing: each one only carries its own room’s noise, so each comes out cleaner, and the levelling makes the voices sit together.
Noise removal is made for speech. Where it finds music under the voice, it turns the music down instead of chopping it in and out between words — and tells you so. Cleaning the voice first and adding the music in your editor gives the best result.
The episode is cleaned in your browser, on your computer. Kleervox only receives its length, size and type to count it against your plan — never the audio, so unreleased interviews stay unreleased.
Speak close to the microphone and keep the gain moderate: noise removal works best when the voice is well above the noise, and a voice that never clips needs no repair. Soft furnishings and a closed door reduce room noise more than any software.
Recording a remote interview over Zoom, Meet or Discord? The AI noise cancellation desktop app cleans the microphone live, so the recording starts cleaner. For other kinds of files, see how to remove background noise from audio files.
The overview: every format, how the in-browser cleaning works, and the private library.
MP4, MOV, WebM and MKV: clean the soundtrack while the picture stays exactly as it was.
Phone voice memos, interviews, lectures and dictation recorded in a noisy place.
Try it free: 30 minutes of cleaning a month on the Free plan, no card needed. Pro and Creator add more hours of file cleaning every month, plus unlimited live-call noise cancellation in the desktop app. Files can be up to 30 minutes long on Free and Pro, and up to 3 hours on Creator. Private storage comes with Pro and Creator.
Export your episode (or each speaker's track), sign in to Kleervox, open File Cleanup and drop the file in. It is cleaned in your browser and downloads at podcast loudness, ready to publish or to drop back into your editor.
Most podcast platforms and producers aim for about −16 LUFS for stereo episodes. The Podcast loudness setting levels the cleaned file to −16 LUFS with a true-peak limiter, so it is not quieter or louder than the shows around it.
No. Noise removal is made for speech, so when the tool detects a song or a music bed it turns the music down rather than cutting it out between words — and tells you it did. For the cleanest result, clean the voice tracks first and add music afterwards.
If you have separate tracks per speaker (a remote interview recorded locally, for example), cleaning each one before mixing gives the best result, because each track only carries its own room noise. A finished mix works too.
Yes. An MP3 comes back as an MP3, and WAV, M4A, FLAC, OGG and Opus are supported too. Files can be up to 30 minutes long on Free and Pro, and up to 3 hours on Creator.
Sign in, drop in an episode and download it clean and at podcast loudness — no plugins, no upload.
