Profanity cleanup
Disprofanity for profanity cleanup
Find profanity in videos, podcasts, interviews, courses, and other published media, then prepare bleep or silence actions before publishing.
Upload long media, transcribe speech, flag risky words, then prepare bleep or silence edits before publishing.
Find it. Review it. Bleep it.
Publishing check
Long media
uploaded
Transcript
ready
Risk words
flagged
Bleep edit
prepared
Workflow
Heavy media work runs in the cloud workflow, so your device stays focused on upload, review, and confirmation.
Send media through a lightweight upload flow built for longer spoken content.
Turn speech into reviewable text and surface profanity or sensitive wording by timestamp.
Confirm what should be cleaned before preparing the final reviewed output.
Connect Disprofanity to Dify and AI workflows as a video review and cleanup node with suggestions and automated follow-up.
Quick answers
Long videos are never transcoded or analyzed in the browser. Files are uploaded directly to OSS via presigned URLs, while transcription and processing are handled by cloud workflows. Your local device only handles upload, review, and confirmation.
Files are stored in private object storage, and uploads/downloads use short-lived presigned links. Authentication uses HttpOnly refresh cookies and in-memory access tokens. Completed tasks are usually retained for up to 7 days, and you can delete eligible tasks at any time.
Coming next: as a Dify / AI workflow node for video review. Submit audio or video, get back flagged words, timestamps, and cleanup suggestions, then route to manual review or automated follow-up.
Start with one long video or audio file, review the timestamps, and prepare cleanup actions before export.
Start free beta