- How do I bleep out swear words in a video automatically?
- Upload the video and click Process. Speech recognition transcribes the audio with word-level timestamps, every word is checked against a profanity list, and each match is covered with a bleep (or silence, if you prefer) padded by a fraction of a second on each side. You don't mark anything manually — though you can add custom words to the list.
- Does censoring reduce my video quality?
- No. The picture is stream-copied — only the audio track is re-encoded with the censored sections. Processing is also much faster than tools that re-render the whole video.
- Which words get censored?
- A built-in list of common English profanity and slurs, including their usual variations (plurals, -ing forms). You can extend it with the custom words field — useful for censoring names, competitor brands, or community-specific terms. Matching is exact-word, so words that merely contain a profanity (like 'class' or 'Scunthorpe') are never falsely censored.
- Will this make my video safe for YouTube monetization?
- Bleeping profanity is the standard practice for ad-friendly edits — YouTube's advertiser guidelines treat censored profanity far more leniently than uncensored, especially in the first 30 seconds. This tool automates exactly that edit; final monetization decisions are always YouTube's.
- Can it censor languages other than English?
- Speech recognition covers 25 European languages, but the built-in profanity list is English-first. For other languages, add the words you need censored in the custom words field and they'll be caught the same way.
- What if it misses a word or censors a false positive?
- Word-level ASR is very accurate on clear speech but can miss heavily slurred or shouted words over loud music. Run the result through the tool again with the missed word in the custom list, or use the mute mode for content where precision matters most. The result shows how many words were censored so you can sanity-check.