About BeepThatOut
BeepThatOut is an AI-powered profanity editor that works in your browser, built for YouTubers, podcasters, and other content creators. It helps users cut time spent on editing, protect their monetization, and keep full creative control over what and how to filter.
How to Use
Users can upload any audio or video file, which BeepThatOut automatically scans for profanities using AI. Then, they can customize and fine-tune the filtering by picking categories, adjusting censor effects, checking transcript errors, and fine-tuning alignment. Finally, users can review the results in the editor and export the project to their favorite video editor (Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve) or download a rendered file.
Key Features
- AI-powered profanity detection and censorship
- Customizable filtering and censor effects (beep, silence, custom sounds)
- Export to major video editors (Adobe Premiere Pro, DaVinci Resolve, Final Cut Pro)
- Automatic .srt subtitle generation
- Support for over 50 languages
- Processing of long-form content (up to 10 hours)
- Interactive transcript editor
- Custom word blacklist
Use Cases
- YouTubers cleaning content for monetization and wider audience reach.
- Podcasters ensuring family-friendly content.
- Content creators saving time on post-production.
- Attracting better sponsors by keeping content brand-safe.
- Generating subtitles for accessibility and repurposing content.
Key Features
Best For
Alternatives to BeepThatOut
Byrdhouse
Break language barriers with Byrdhouse AI-driven voice and caption translation in 100+ languages for meetings, calls, and chats.
RipX
RipX DAW: Revolutionizing Audio Editing with AI
AudioStrip
Effortlessly Separate, Denoise, and Master Your Music with AudioStrip
Databass
Unleash Your Creativity with Advanced AI Audio Tools
AI Transcription by Riverside
Grow your content's reach with AI Transcription by Riverside. Transcribe your audio and video files in minutes, with high accuracy and easy-to-use features
melody ml
Unlock Your Music's Potential with AI-Powered Track Separation