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AI-powered profanity filter for content creators

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CleanBleep

AI-Powered Profanity Filter

๐Ÿ‘‹ Hi there! CleanBleep is an AI-powered tool that automatically detects and bleeps profanity in your videos and audio. Built for YouTubers, podcasters, and video editors who want to keep their content clean without the manual hassle. If you have any questions, feel free to reach out!

Why we built CleanBleep

Anyone who has published videos on YouTube or episodes on Spotify knows the problem: a single accidental swear word can demonetize a video, restrict its audience, or get it removed from family-safe playlists. The standard fix โ€” opening a timeline editor and manually placing a bleep clip at every timestamp โ€” can take 20 to 40 minutes for a 10-minute clip. We built CleanBleep to eliminate that work. Upload your file, let AI find the profanity, review the detections in seconds, and download a clean version. The whole process takes a few minutes instead of half an hour.

How it works

CleanBleep uses ElevenLabs Scribe for speech transcription. Once the transcript is ready, profanity is matched against a curated English wordlist and every match is linked to its timestamp on an audio waveform. You can click any highlighted word to hear it in context, toggle detections on or off, choose between a bleep tone, silence, or a custom sound, and preview the result before exporting. The final censoring and export run entirely in your browser using ffmpeg.wasm โ€” no round-trip to a server, no waiting in a queue.

Your files never leave your device

Most online video tools upload your entire file to a server for processing. CleanBleep takes a different approach: only the extracted audio track is sent for transcription. Your original video stays in the browser the entire time, and the final export โ€” with bleeps applied โ€” runs locally through WebAssembly. Nothing is stored on our servers after your session ends.

Who CleanBleep is for

  • YouTubers who want a monetization-safe version of a video without re-editing the whole timeline
  • Podcasters who record unscripted conversations and need a clean episode for broader distribution
  • Educators and corporate trainers who need to share clips without unexpected language
  • Short-form creators who repurpose long-form content for TikTok, Instagram Reels, and LinkedIn