Remove photos from PimEyes

How to remove photos from PimEyes and reduce the chance the same headshot shows up again

If you found your face in PimEyes, the immediate job is removal. The follow-up job is preventing the same clean image from staying public and feeding future matches.

Use case

Removal is the urgent step when you already have a live result.

Use case

If the same public headshot stays online, similar results can come back later.

Use case

The durable fix is usually removal plus replacing and protecting the source image you still control.

What CloakBioGuard actually helps with

Reduce how easy it is for facial-recognition systems to match a public profile image.
Preserve a normal-looking photo for people while changing what machine vision systems infer from it.
Give you a low-friction workflow to scan exposure first and protect the exact image you plan to publish.

Guide

Removal plus prevention

1

Locate the source page behind the result

Figure out whether the image comes from LinkedIn, a company bio, an old press page, or another public site you can still edit.

2

Request removal where possible

Follow the current removal path for the service and keep notes on what you submitted and when.

3

Swap the public source image

If the old clean headshot stays live, removal becomes a loop. Replace it with a protected version on the sites you control.

FAQ

Frequently asked questions

Is removing the result enough?

Not usually. If the original image is still public in the same form, other indexes or later crawls can recreate the problem.

What if I cannot control the page where the image appears?

You may need to combine a removal request, direct outreach to the site owner, and changes to any other public copies you do control.

Why scan the source image after I already found a result?

Because the next decision is whether that same image is still too exposed to keep using. The scan helps you decide whether it should be replaced or protected.