About Disprofanity

Disprofanity is an AI-assisted profanity and sensitive-term review tool for multilingual audio and video. It combines AI-enhanced speech recognition with deep English and Chinese scenario packs, custom lexicons, and timestamped review to surface likely profanity, slurs, and platform-risk phrases before content goes live.

Our approach

Most profanity tools either focus on obvious curse words in one language or require teams to build sensitive-word lists from scratch. Disprofanity takes a different approach: multilingual ASR input, preset scenario lexicon packs, deep English + Chinese review coverage, hotword-enhanced ASR, and a review-before-render workbench. The result is a tool that fits real creator and livestream team workflows — not a generic compliance checklist.

What we value

Multilingual input, focused review depth

We support multilingual ASR input, then go deepest where review risk is highest today: English creator profanity, Chinese short-video phrasing, livestream commerce terms, and custom team vocabulary.

Review before render

We believe creators should see the full decision surface before committing to an export. Timestamped review, scoped actions, and saved edits come first — rendering comes last.

Built for team workflows

Disprofanity is designed for production teams managing batches of clips. Scenario lexicon packs, custom hotwords, and batch settings keep review consistent across content.

Scenario-first, not blank-slate

Start from a preset review pack — profanity, live-commerce, gaming grey-market — instead of building a sensitive-word policy from scratch. Teams get to value faster.

Who uses Disprofanity

  • English creator channels — monetized clips, podcasts, and short-form batches that need profanity review before publishing.
  • 中文短视频 / 直播团队 — live commerce, recap clips, and review-heavy workflows that need platform-risk phrase checking.
  • Production studios — teams managing multilingual content that need deep English/Chinese packs plus custom review vocabulary.

Ready to clean up your content?

Sign upContact us