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Remove Profanity

Clean Audio for
Every Audience.

Local AI transcription detects profanity and handles it automatically. Choose to mute or cut, add your own words, and review each detection before applying.

Premiere Pro Final Cut Pro DaVinci Resolve Mute or Cut mode
Two Handling Modes

Mute or cut. Your call.

Not every project needs profanity removed the same way. Editorial context matters. EditLint AI gives you two distinct handling modes so you get the right result every time.

Mute Mode

The audio for the flagged word is silenced but the video clip stays in place. Viewers see the speaker's mouth moving but hear nothing during that word — exactly what you'd expect from broadcast TV. Ideal when cutting the clip would create an awkward jump cut or break the visual rhythm.

  • Video track remains untouched
  • Audio gain set to –∞ dB on that range
  • Works even on overlapping B-roll
  • Configurable fade-in/fade-out around mute

Cut Mode

The entire clip range covering the flagged word is removed from the timeline. Use this when the word stands alone enough that its removal doesn't leave a jarring visual gap, or when you know the edit will be covered by B-roll. Produces a cleaner audio result but requires more care around cut points.

  • Frame-accurate cut in and out points
  • Configurable padding (1–5 frames)
  • Downstream clips ripple automatically
  • Sequence duplicated before applying
Custom Word List

Your list. Your rules.

EditLint AI ships with a default profanity list covering common English terms. The list is fully editable — add brand-specific terms that shouldn't appear in client deliverables, competitor names, or any words your particular production forbids.

Changes to the word list are saved per project or globally in your brand preset. Agency editors can store a different word list for each client and switch with one click.

  • Default list: common English profanity (hidden from UI)
  • Add custom words: type in the settings panel
  • Case-insensitive matching by default
  • Per-project or global word list options
  • Export your word list for team sharing
Use Cases
YouTube Monetisation
YouTube demonetises videos with profanity in the first 30 seconds. EditLint flags and mutes every occurrence before export so your video stays eligible for ads.
Broadcast Compliance
TV broadcasters require clean audio on all deliverables. Run profanity detection as part of your export preparation checklist to meet compliance standards automatically.
Corporate Client Deliverables
Interviews and vox-pops often contain language that's fine in context but inappropriate in a brand video. Add the client's restricted words to a custom list and check every cut before delivery.
How It Works

Transcribe. Detect. Review. Apply.

1

Transcribe Your Audio

Local Whisper transcription produces a word-level transcript with frame-accurate timestamps. Processing is entirely on-device. No audio leaves your machine.

2

Detect Against Your Word List

The transcript is checked against your active word list. Each match is returned with its exact timecode, the detected word (shown as asterisks in the panel) and a confidence score. Phonetic variants and common misspellings are handled automatically.

3

Review and Choose Mode

Each detection appears in the panel with your chosen handling mode pre-selected. You can switch individual items between Mute and Cut mode before applying. Check the audio around each detection by clicking to move the playhead.

Clean audio. Every deliverable. Every client.

Stop manually hunting through transcripts for words that shouldn't be in the cut. Let EditLint AI find and handle them automatically before your next export.

No credit card required · Works inside your NLE · Cancel any time