Listen
Hear the difference.
One recording, four ways. Switch versions while it plays.
Original contains profanity
The untouched recording.
Real Autocensor output on 24 seconds of a real podcast, the densest stretch of our test episode.
Web app · Audio & podcasts
Clean audio. Same voice.
Autocensor finds every swear in a recording or podcast feed and replaces it with a clean word in the speaker’s own voice.
Speaker’s own voiceOr beep and mutePodcast feedsFinal profanity checkNo account needed
The free plan includes 10 files a month. You can upload your first file as a guest, without an account.
Upload to download.
A guest upload with Replace: live progress, then the re-voiced file.
Voice replace
Swears out. Their voice stays.
Autocensor transcribes every word with timing and finds each swear. It generates a clean word in that speaker’s own voice and splices it in at the word boundary, then checks the result for anything it missed.
f***ing freakingh**l heckd**k jerkd**n darn
A few pairs from the default word list.
- Speaker-aware: each clean word is made for the person who said it
- Final check on the finished file before you download
Live progress
Watch it get clean.
Leave the job page open. It shows each stage as it runs, over a live connection, so there’s nothing to refresh.
TranscribingIdentifying speakersRe-voicingChecking the result
Pick a mode
Replace, beep, or mute.
Replace is the default. Beep or mute when you want the edit to be obvious.
Recommended
Replace
Swap each swear for a clean word in the speaker’s own voice.
Broadcast bleep
Beep
Classic broadcast bleep over the exact word.
Short pause
Mute
Cut the word out, leaving a short pause.
Podcasts
Subscribe once. Every episode arrives clean.
Add an RSS feed and Autocensor re-voices new episodes automatically, or beeps or mutes them. You get a clean feed URL to add to any podcast app.
- Clean feed URL with a Copy button
- Episode list with the status of every episode
Dashboard
Every file, one place.
See how many files you’ve cleaned this month against your plan, and open any recent file.
Every screen. No mockups.
Straight from the app. Scroll through.
Dark mode, too.Light mode, too.
The app follows your device’s appearance setting.
Also in the box.
Guest uploads
No account to try it
Upload from the home page and keep the private link to follow progress and download the result.
Word boundaries
Edits land on the word
Each replacement is spliced in at the word’s own boundaries, leaving the speech around it untouched.
Speakers
Voices that match
Speakers are told apart, so each clean word is made for the person who said the original.
Final check
Checked again
Replace and Mute jobs are transcribed once more and checked for missed profanity before delivery.
Start free.
Upgrade when you publish more.
Free
$0 / month
- 10 files a month
- Voice replace, beep or mute
- Podcast feed cleaning
Pro
$29 / month
- 100 files a month
- Voice replace, beep or mute
- Podcast feed cleaning
Enterprise
$99 / month
- Unlimited files
- Voice replace, beep or mute
- Podcast feed cleaning
Questions.
Do I need an account?
No. Upload from the home page and you get a private link to follow progress and download the result. Create a free account when you want a history of files or podcast feeds.
What files can I upload?
Common audio formats — MP3, WAV, M4A and FLAC. The cleaned file comes back ready to publish.
How long does it take?
It depends on the length of the recording and how busy the queue is. The job page updates live, so you can leave it open and come back when it says Ready.
Will listeners notice the replaced words?
That’s the point of voice replace: the new word is generated in the same voice and stitched into the original recording. If you’d rather make the edit obvious, choose Beep.
Who can access my audio?
Files are tied to your account, or to the private link you get as a guest. Podcast clean feeds use a private tokenized URL.
Clean your first file.
Upload a recording and download the clean version. No account needed to try it.
Screenshots, the recording and the audio demo are real output from the app, made from a clip of a real podcast.