直播带货风险词
Review phrases that may require extra attention in live-commerce scripts, recap clips, and promotional segments before they are published.
Disprofanity helps Chinese short-video and live-commerce teams review platform-risk phrases, absolute-result claims, sensitive wording, and custom hotwords in timestamped recap clips before publishing.
Live-commerce workflow
Check Chinese live-selling scripts and recap clips for platform-risk wording.
Use scenario lexicon packs instead of starting from a blank sensitive-word policy.
Add product names, host phrases, and campaign-specific terms as hotwords.
Run extraction, conversion, and media preparation on the FC backend without local device load.
Use non-Whisper long-form speech recognition for livestream recaps and audio/video files up to 12 hours.
Use-case fit
Chinese livestream and short-video teams often publish fast, but platform-sensitive wording can hide in long recap clips. A scenario-first workflow lets reviewers start from commerce-risk packs, customize terms for a campaign or creator, and let backend processing handle long files without tying up the reviewer’s device.
Review phrases that may require extra attention in live-commerce scripts, recap clips, and promotional segments before they are published.
Use curated scenario packs for commerce, advertising claims, gaming grey-market wording, or team-specific sensitive expressions.
Add product names, host catchphrases, brand terms, and campaign vocabulary as hotwords to improve review accuracy in the current batch.
Extraction, conversion, and media preparation run on the FC backend, so uploads can continue in the background without relying on the reviewer’s local CPU, browser tab, or system resources.
Disprofanity uses a non-Whisper long-form speech recognition architecture, supporting audio and video files up to 12 hours while preserving recognition accuracy.
Workflow
Upload a livestream cut, short-video draft, or long campaign audio segment.
Run extraction, conversion, and media preparation in the backend without local device load.
Use non-Whisper long-form ASR for livestream recaps and audio/video files up to 12 hours.
Review timestamped matches and decide what should be muted, replaced, or kept.
Comparison
Fast for short clips but unreliable for long recap batches, especially when several editors apply different standards.
They may catch exact words, but often miss campaign context, Chinese phrasing variation, and batch-specific hotwords.
Combines Chinese scenario packs, FC backend media processing, long-form ASR, timestamped transcript review, and review-before-render export.
FAQ
They are words or phrases that a live-commerce or short-video team may want to review before publishing, including sensitive expressions, advertising claims, campaign-specific terms, and platform-risk wording.
No. Disprofanity is an AI-assisted review tool. It helps teams find and discuss risky timestamps, but final publishing decisions should follow each platform and team policy.
Yes. Product names, brand phrases, host expressions, and campaign vocabulary can be added as custom hotwords for a task or batch.
Yes. The same timestamped review workflow works for recap clips, creator videos, gaming content, and other Chinese short-form workflows.
No. Extraction, conversion, and media preparation run on the FC backend, so long recap files can continue in the background without relying on the reviewer’s local CPU, browser tab, or system resources.
Yes. Disprofanity uses a non-Whisper long-form speech recognition architecture, supporting audio and video files up to 12 hours while preserving recognition accuracy.
Get started
Start with a sample clip, choose scenario packs, review timestamped matches, and export only after the decisions are clear.
Create an account