Redactify
Automated profanity censoring for video & audio
100 followers
Automated profanity censoring for video & audio
100 followers
Bleep out swear words in your videos automatically, and blur speakers' mouths so nothing slips through. Built for creators, podcasters, and media teams shipping to TikTok, YouTube, Twitch and Spotify.
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Super useful for creators who want to stay brand-safe without manually hunting down every slip. The mouth blur on top of the bleep is a nice touch — covers both audio and video platforms.
Does it handle different languages or is it English-only for now?
@doganakbulut Thanks! Yeah exactly, felt like it wouldn't be a proper solution without mouth blur.
To your question, yes it does! English is the most thoroughly supported language, but Spanish, French, German & Portuguese are also supported (with more coming in future)
This looks genuinely useful for creators and editors who spend way too much time on repetitive cleanup work. One thing I'd be curious about is how accurate the detection is across different accents and speaking styles.
@henry_habib Hey Henry! Glad to hear you also see the value 😎
It's a great question, under the hood Redactify uses ElevenLabs, which (from what I've seen & experienced) seems to be best-in-class for transcription.
I've tested with a range of accents, but I'd be interested to hear your feedback if you get a chance to try it out yourself!
This solves a real headache for creators who post across multiple platforms with different content policies. Manual bleeping is tedious and easy to miss. Curious how it handles context — some words are fine in one setting and not another. Does it let you customize the word list or is it one-size-fits-all? Congrats on the launch!
Great launch Kelechi! Automated profanity censoring for video and audio is a huge time-saver for content creators — manual bleeping is tedious and inconsistent. Does Redactify handle context-aware censoring, or does it catch every instance of a word regardless of whether it's actually offensive in context?