Audio Profanity Remover — Clean Version Maker

Free tool for removing profanity from audio — songs, podcasts, voice messages and any recordings. AI speech recognition finds swear words and mutes each one precisely by timecode: a beep with adjustable frequency, silence, a volume duck or your own replacement sound. Missed spots can be muted manually right on the waveform. Currently recognizes Russian speech; processing runs in your browser via WebAssembly.

How to remove profanity from audio

1

Upload a recording — a song, podcast, voice message or video soundtrack (MP3, WAV, M4A, OGG and more)

2

Wait for speech recognition — progress, elapsed and remaining time are shown on screen

3

Review the detected words: click in the transcript to remove extras, or drag on the wave to add your own sections

4

Configure the censor — beep frequency and volume, silence, duck or your own sound — and preview the result in the player

5

Click "Download clean file" and choose the format and bitrate

Make a clean edit of a song, podcast or recording with no manual cutting

🤬
Drop an audio file here or click to browse
Drag & drop or browse
Loading file...
0%
Click the wave to seek · drag to mute a section manually · section edges are draggable
0:00 / 0:00 Found 0 Fuzzy 0 Muted 0

Transcript

Click any word to mute it or remove the mute.

Will be muted

No profanity found. Click a word in the transcript or drag on the wave to add one.
Audio file up to 20 MB; the first 30 seconds are used and looped over long sections.
Custom word lists (blacklist and whitelist)
Audio is rebuilt with smooth fades; in videos the picture is copied without re-encoding.
Published Updated