Face replacement and roadmap

Face Swap vs Face Blur for Anonymization

Compare face swap and face blur by disclosure, processing mode, selective editing, and review effort—not just how natural the finished face looks.

On this page

Choose face blur when you want viewers to understand that an identity has been withheld. Consider face swap for a controlled, disclosed production where an altered facial appearance is part of the plan.

Neither method automatically hides a voice, tattoo, name, location, or distinctive movement. The choice is about how you change the visible face and what the resulting image communicates.

What viewers see

Blur visibly obscures detail. It may distract from an expression, but it makes the intervention apparent. That can be useful in documentary material or a public clip where you do not want to imply an untouched record.

Face swap replaces the facial appearance. It may preserve more of the impression of an ordinary face, but viewers could mistake the replacement for the actual person. A label explaining the alteration helps avoid that misunderstanding.

A convincing replacement is not a measure of anonymity. Someone familiar with the speaker may recognize their voice before looking at the face.

What Unseen lets you choose

Unseen offers ordinary face masking in local and cloud processing. Local processing is free and runs the video workflow in the browser. You can use Select faces to choose which detected appearances to hide, or apply the effect to all detected faces.

Face swap is cloud-only. You supply a replacement photo, and Swap all faces applies it to all detected faces. The current workflow does not let you keep the host's real face while swapping only a selected guest.

Swap clips are limited to four minutes, compared with ten minutes for ordinary cloud processing. Both cloud workflows also have a file-size limit. Check the upload screen before preparing a longer piece.

What the review has to catch

For blur, look for incomplete coverage, missed appearances, and frames where the mask drops out.

For swap, check those visibility problems and the replacement itself: does it fail during a head turn, distort the mouth, change abruptly after an obstruction, or replace a background person you did not intend to alter?

Both methods need review of the exported file. A good preview frame is not enough to judge a moving face. Face swap also adds a reference image to the materials you must handle appropriately.

Do not assume swap will be faster because it uses the cloud. It is a different, more demanding operation than ordinary face masking.

Choose by the job

For a gym clip where only bystanders should be hidden, selective masking is the more suitable current workflow. For a school event, replacing every detected face with one reference is unlikely to preserve the result you want.

For a staged demonstration with one consenting adult, face replacement may be worth testing if the altered appearance is clearly explained. If expression is unimportant, filming hands or using a solid mask may be simpler.

When choosing, write down the audience, whose face should remain visible, whether the footage can leave your device, and whether viewers need to recognize the edit. Those answers matter more than which effect looks most impressive in a still image.

Try it on a short clip

Start with a difficult moment from your video, then inspect the exported result.

Open Unseen