Frequently Asked Questions
Everything you need to know about Disprofanity — how it works, what it covers, and how it fits your creator or livestream team workflow.
What is Disprofanity?
Disprofanity is an AI-assisted profanity and sensitive-term review tool for multilingual audio and video. It combines AI-enhanced speech recognition, deep English and Chinese scenario packs, custom lexicons, and timestamped review before content goes live.
Is Disprofanity an AI or real-person binary classifier?
No. Disprofanity is an AI-assisted evidence review tool for profanity and sensitive terms in video/audio content. It helps creators identify and clean up risky language before publishing. It does not classify content as 'AI-generated' or 'human-created'.
Can I upload languages other than English and Chinese?
Yes. The ASR layer can process multilingual audio depending on recognition quality. Today, Disprofanity's deepest built-in review packs are for English and Chinese scenarios — covering profanity, slurs, live-commerce risk phrases, and gaming grey-market terms. For Japanese, Korean, dialect-heavy, or team-specific content, teams can use custom lexicons and manual review workflows while built-in language packs expand over time.
Can I add custom words to the lexicon?
Yes. You can add team-specific custom words, sponsor names, brand terms, and domain vocabulary as hotwords for each batch. These hotwords boost recognition accuracy and ensure consistent flagging across your content.
How does the review workflow work?
Disprofanity generates a timestamped transcript with flagged terms. You review each flag, choose an action (silence, beep, replace, or mark for review), save your edits, and only then render the final output. This 'review-before-render' approach ensures you see the full decision surface before committing to an export.
Is Disprofanity suitable for livestream commerce teams?
Yes. Chinese livestream commerce teams use Disprofanity to check live-selling scripts and recap clips for advertising compliance and platform-risk phrases before publishing. The live-commerce lexicon pack includes common absolute-result claims, prohibited advertising terms, and platform-specific sensitive expressions.
What are scenario lexicon packs?
Scenario lexicon packs are preset review profiles tailored to specific content types. Available packs include: Profanity & Slurs (baseline toxic language), Commerce & Live Review Terms (Chinese advertising compliance), Gaming Grey-Market Terms, and team-specific custom packs. You select one or more packs per task.
How is Disprofanity different from basic auto-bleep tools?
Basic auto-bleep tools focus on obvious curse words after transcription. Disprofanity offers multilingual ASR input, preset scenario packs, deep English + Chinese review coverage, hotword-enhanced ASR, and a review-before-render workbench where you can adjust each flagged timestamp before exporting.
How is Disprofanity different from general video editors?
General video editors let teams add beeps, cuts, or blur effects manually. Disprofanity automates detection with AI-enhanced ASR and timestamped review, so you start from a pre-flagged transcript rather than scrubbing through audio manually.
What kind of content can I process?
Disprofanity supports audio and video files. You can process individual clips or batches. The tool generates a timestamped transcript with flagged terms, which you review and export. Common use cases include monetized YouTube clips, podcasts, TikTok/抖音 short videos, livestream recaps, and live-commerce segments.
Is Disprofanity free?
Disprofanity is currently in Beta. Visit the website at disprofanity.com for current pricing and availability. Sign up to get started.
How do I get started?
Sign up at disprofanity.com/auth/register, upload a sample audio or video file, choose your scenario lexicon packs and replacement sounds, review the flagged timestamps in the transcript workbench, and export your cleaned edit.