EditLint AI's OpenCV DNN face detector finds every face in your footage and pixelates it, producing a new protected media file. Your originals are never touched.
Different privacy requirements call for different treatments. Choose the mode that fits your compliance needs.
Classic block-style pixelation. The most recognisable anonymisation treatment, immediately understood by viewers as intentional privacy protection.
Smooth, soft blurring. Looks more polished than pixelation, preferred for editorial contexts where a heavy pixel grid would feel out of place with the production value.
Complete face occlusion with a solid black rectangle. Maximum anonymisation. No residual facial data whatsoever. Required for the strictest privacy and legal compliance standards.
OpenCV's deep neural network (DNN) face detector runs across every frame of your footage, identifying face bounding boxes with confidence scoring. Detection works on partial faces, angled faces and faces in motion.
Your chosen blur mode is applied to each detected face region, frame by frame. The blur region tracks the face's movement. No flickering or missed frames.. Confidence threshold is configurable to reduce false positives.
The blurred output is written as a new media file alongside your original. The original clip is never modified. The protected file is automatically added to your project bin, ready to replace the original in your timeline.
Under GDPR (EU 2016/679) and equivalent legislation globally, a person's face captured on video constitutes biometric personal data. Publishing, distributing, or archiving footage containing identifiable individuals without their explicit consent can expose organisations to significant fines, up to 4% of annual global turnover or €20 million, whichever is higher.
For editors working with public space footage, news content, documentary material, corporate video, or any footage where subject consent cannot be confirmed for every individual, face anonymisation is often a legal requirement, not an optional extra.
EditLint AI never overwrites your source media. The face-blurred output is always a new file, written to the same folder as your original with a _blurred suffix. Your original clip remains in your project bin and on disk.
This matters because requirements change. If a subject later provides consent and their face should be visible in an archive version, the original is still available. You're never locked into a permanent decision made during post.
EditLint AI finds every face in your footage and blurs it automatically, on your machine, in minutes, with your original always safe.