Podcast Audio Cleaner — Ship Better-Sounding Episodes Without a Sound Engineer
Upload a solo episode, remote guest track, or co-hosted recording and let AI remove background noise, room echo, and optionally strip filler words before you publish. No plugins, no DAW skills, no hourly editing rates — just a cleaner episode ready for Spotify, Apple Podcasts, or wherever your listeners are. Supports MP3, WAV, M4A, FLAC, and OGG up to 500 MB.
Upload a real episode file, not a test tone. The AI adapts to the actual noise in your recording environment.
Built for podcast audio
Tuned for the steady background noise that shows up in home studios, guest recordings, and remote interviews.
Podcast Ready mode
Goes beyond noise removal — also trims filler words, long silences, and mouth sounds so your episode is publish-ready.
Preview before you publish
Compare the original and cleaned version side by side. Download only when you are satisfied with the result.
Quick answer
Denoisr is a podcast audio cleaner that reduces background noise, room echo, and optionally trims filler words from podcast recordings. Upload a solo episode, remote guest track, or co-hosted file and get a cleaner version ready for editing or publishing. The AI model adapts to your specific recording — whether you have AC hum from a home office, fan noise from a laptop, or room reverb from a guest who recorded in their kitchen. It is not a full DAW and will not replace your entire editing workflow, but it handles the most tedious part: getting the raw audio to a listenable baseline before you cut, arrange, and publish.
Clean your podcast audio right here
Upload the episode file you plan to publish. The AI analyzes the noise profile in your specific recording — no setup required.
Works best with spoken-word podcast recordings: solo episodes, interviews, co-hosted shows, and remote guest tracks.
Drop your podcast file here
Start with a solo episode, remote guest track, or co-hosted recording. Exports from Riverside, Squadcast, Zoom, and any DAW are supported.
Sign up free — 5 credits included, no card required.
One file at a time
Upgrade to Starter for 2-file batches
Honest expectations
What podcast noise cleanup handles — and where it has limits
AI denoising is effective for the steady, predictable noise that most podcasters deal with. But no tool fixes everything, and knowing the limits helps you get better results.
Works well for
- AC hum and HVAC noise from home-office recordings
- Laptop and desktop fan noise picked up by condenser mics
- Room tone and ambient hum from untreated recording spaces
- Electrical buzz and ground-loop hum on USB microphones
- Low-level street traffic heard through apartment windows
- Remote guest audio with steady background noise from Riverside, Squadcast, or Zoom exports
May not fully fix
- A doorbell or phone notification mid-sentence
- Two hosts or guests talking over each other simultaneously
- Severe clipping from a gain level set too high
- Heavy room reverb from recording in a large, untreated space
- A guest's audio that was recorded through laptop speakers instead of a mic
- Music beds or sound effects that overlap with speech
How it works
How to clean podcast audio before publishing
No plugins to install, no noise-profile wizards to configure. Three steps from raw recording to publish-ready episode.
Upload your episode or guest track
Drag and drop the raw recording from your DAW, Riverside export, Squadcast download, or Zoom local file. Solo episodes, guest tracks, and co-hosted recordings all work.
Choose a cleanup mode
Select Clean Noise for a light touch, Enhance Voice for full loudness balancing and vocal polish, or Podcast Ready to also strip filler words like 'um' and 'uh' and trim long silences.
Compare, download, and publish
Play the original and cleaned version side by side. Download the cleaned file and bring it into your editor for final cuts, or upload it directly to your podcast host.
Podcast scenarios
Six ways podcasters use Denoisr in their workflow
Whether you are a solo host, a two-person show, or an editor managing multiple feeds, these are the situations where Denoisr saves you time.
Solo episode cleanup
You recorded at your desk with the AC running and a fan on low. The content is great but the background hum is distracting. Upload the raw file and get a cleaner track in minutes.
Remote guest track rescue
Your guest recorded on a laptop mic in their living room. Their audio has room noise, keyboard taps, and a faint TV in the background. Denoisr reduces the steady noise so the conversation sounds balanced.
Multi-track cleanup before mixing
You record each host on a separate track. One host has a treated room, the other does not. Clean the noisier track individually before combining them in your DAW.
Repurposing old episodes
Earlier seasons were recorded with worse gear in worse rooms. Clean those episodes before reposting them or creating highlight clips for social media.
Cleaning audio before transcription
Noise in the source file leads to transcription errors. Running episodes through Denoisr first gives your transcription tool or service a cleaner input and more accurate output.
Demo episodes for sponsors
Sponsors judge your show by audio quality. Clean a sample episode before including it in a media kit or pitch deck to make a stronger first impression.
Why podcasters choose Denoisr
Skip the hour in a DAW — clean podcast audio in minutes
Manual noise reduction in Audacity or Adobe Audition means selecting noise profiles, tweaking spectral curves, and listening back over and over. Denoisr handles that step automatically so you can focus on the content.
Podcast Ready mode
Goes beyond noise removal. Also detects and trims filler words like 'um,' 'uh,' and 'you know,' plus removes long silences and mouth clicks — the cleanup a podcast editor does by hand.
Batch upload for full seasons
Cleaning a back catalog or processing multiple guest tracks? Upload several files at once and let them process in parallel instead of one at a time.
No learning curve
You do not need to learn what a spectral gate is or how to set a noise floor threshold. Upload, pick a mode, and download. That is the entire workflow.
Works with any recording setup
Riverside exports, Squadcast downloads, Zoom local recordings, GarageBand bounces, Audacity exports — if it is an audio file with voice, Denoisr can clean it.
Preserves your voice character
Over-processed podcast audio sounds robotic and hollow. Denoisr's model is tuned to suppress noise without stripping the natural warmth and tone of your voice.
Fits into your existing workflow
Denoisr is not trying to replace your DAW or editor. Clean the raw audio first, then bring it into Descript, Hindenburg, GarageBand, Logic, or whatever you edit in.
Hear the difference
Before and after — real podcast recordings
These samples come from actual podcast episodes with common home-studio noise. Toggle between the original and the cleaned version to hear what Denoisr does.
Home studio recording
Podcast host track in a converted home studio — slight room tone, fan hum, occasional outside noise. The usual home-podcast environment.
Why creators choose Denoisr
These are the kind of recordings creators actually upload. Hear how Denoisr handles them before you try your own file.
Voice-trained AI
Keeps speech natural while suppressing steady background noise.
One-pass cleanup
No plugins, no DAW, no manual noise-profile selection.
Compare before you commit
Preview the cleaned result alongside the original — download only what sounds right.
Denoisr facts for podcasters
Podcast Audio Cleaner — frequently asked questions
Can Denoisr clean a remote guest's track?+
Yes. Remote guest recordings are one of the most common files podcasters upload. Whether the track comes from Riverside, Squadcast, Zoom, or a separate recorder, the AI adapts to whatever steady noise is present — room tone, fan hum, appliance buzz — and reduces it while keeping the guest's voice natural.
Does Podcast Ready mode remove 'um' and 'uh'?+
It does. Podcast Ready mode uses speech analysis to detect common filler words like 'um,' 'uh,' 'you know,' and 'like' when used as verbal pauses. It also trims extended silences and reduces mouth clicks. Keep in mind it targets filler patterns, not every instance of these words in natural speech, so occasional false positives or misses are possible.
Should I clean audio before or after editing?+
Before. Cleaning the raw audio first gives you a better starting point for editing — you will hear content more clearly when making cuts, and your editing decisions will be more accurate. If you clean after editing, noise artifacts at cut points can sometimes sound unnatural.
What about multi-track podcast recordings?+
If you record each host or guest on a separate track, upload the noisier tracks individually and clean them before mixing. This gives you the most control because the AI can focus on each voice's noise profile without interference from other speakers.
Can I clean a full season at once?+
With a paid plan that supports batch uploads, you can upload multiple episode files at once and let them process in parallel. Each file is billed independently based on its duration — 1 credit per minute, rounded up. A 10-episode season of 30-minute episodes would cost 300 credits.
Your next episode deserves cleaner audio
Upload a podcast episode, guest track, or co-hosted recording and hear the difference in minutes. Five free credits included — no credit card, no commitment.