Bleepify
Overview
Bleepify is an AI tool that automatically detects and removes profanity from videos, aiding podcasters and video producers. It supports multiple languages, offers customization for word censorship, and allows easy downloading of edited content.
From the official site
Find and bleep swear words in videos, podcasts and audio. Review each edit, choose your censor effect and export a clean copy with Bleepify.
The text above is quoted from this tool’s official website — the vendor’s own words.
Key points from the official site
- Priority support
- Profanity Detector
- Automatically blur likely nudity in video
The points above are quoted from this tool’s own website sections and feature lists — vendor copy, not our review.
Official FAQ
- What is Bleepify?
- Bleepify is an AI profanity filter for video and audio. It creates a timed transcript, highlights likely swear words, and lets you choose what to bleep, mute, or replace before exporting a clean copy.
- How do I bleep out words in a video?
- Upload your video, let Bleepify prepare the transcript, then review the highlighted words. Add anything it missed, choose your censor effect, and process the file. Watch the finished export before sharing it.
- Can I choose which words get censored?
- Yes. Keep words that suit your audience and select others you want covered. You can also select names or other words in the transcript. Check the transcription and timing around each edit.
- Can I try Bleepify for free?
- Yes. The free plan includes 10 processing minutes per month. Your first Music Mode song is also free. You can start without a credit card.
- What file formats does Bleepify support?
- Bleepify supports common video and audio formats including MP4, MOV, MP3, and WAV. You can upload a video directly without extracting its audio first.
- Can I make a clean version of a song?
- Yes. Music Mode separates the vocals and instrumental so you can cover selected lyrics and mix the parts back together. Review the lyrics and listen to the export, especially where vocals overlap or have heavy effects.
These questions and answers come from the tool’s own structured data, not written by us.
