To reduce exposure of your own photos, begin with the website that hosts the image and the search service that lists it. Removing an image from one search result does not necessarily remove it from the original website or another index. Keep these requests separate in your review record.
Use this workflow for your own images or material you are authorized to manage. It describes practical review steps, not a guarantee that every request qualifies for removal or that all copies can be found.
Create a private source inventory
Record the page URL, image URL when available, date checked, and what you observed. Identify whether the page contains an exact copy of your photo, a possible resemblance, or an unavailable source. Do not combine uncertain face-search leads with confirmed copies.
Keep the inventory private and limit the information it contains. A public spreadsheet of unwanted photos can increase their exposure. Save only the context needed to make and track the request through the appropriate process.
Use the results review checklist when an image was found through facial similarity. A search lead should be checked before it becomes the basis of a complaint.
Start with the source you control
If the photo is on your own account or website, use that platform's supported settings to remove or restrict it. Check the public page while logged out afterward. A change visible only in your signed-in account is not a complete public verification.
Consider copies, thumbnails, and old pages you control. Removing a profile photo may not remove a separate post containing the same image. Record which URLs changed rather than assuming an account-level action affected every page.
If you do not control the source, find its published removal or privacy process. Follow that process with the required URLs and evidence. Do not contact unrelated people or supply more sensitive information than the documented process requires.
Distinguish hosting removal from search removal
Google's image-removal help explains the distinction between removing an image at its source and removing it from Google Search, with different processes depending on the situation. Check the current eligibility and instructions for your case rather than assuming every unwanted image qualifies.
When an image has changed or disappeared at the source but an old search result remains, the search provider may offer a process for outdated content. Use the provider's current guidance and keep the source-change evidence available.
A request to a search provider does not establish that the hosting page has changed. Recheck each layer separately and record the actual result.
Use AI Face Scan's published removal route
For a listing on AI Face Scan, start with the product's data removal page. Read the instructions and required information before submitting. Keep that request separate from a request to the website hosting the image.
Review the privacy policy for the service's current handling information. Do not infer a completed removal merely because a request was submitted or a form displayed a confirmation. Save the acknowledgement and check the relevant listing after the process's stated review period.
If a request needs additional verification, use the documented channel. Avoid publishing identity documents or including them in a broadly shared issue report. The appropriate service determines what it requires; this guide does not create an alternative verification route.
Track requests and their outcomes
Use a compact record: service, affected URL, request date, reference, response, and date rechecked. Mark pending, accepted, declined, or unknown according to the actual response. An unanswered request is not an accepted request.
If the source remains accessible after a reported removal, capture the current observation and follow the service's supported follow-up process. Do not repeatedly submit duplicate requests without checking the existing reference and instructions.
Keep a record of what changed. A listing may disappear while another copy remains. That is useful progress, but it should not be described as removal from the entire internet.
Recheck with proportionate expectations
Use a reasonable review interval and your original source inventory. Search coverage is incomplete, so a negative search result is only one observation. Read the no-results guide before treating it as universal proof of absence.
You can use the AI Face Scan homepage to review authorized images and find leads for your own exposure audit. The useful outcome is a verified set of source-specific changes and a clear record of requests still unresolved.
Prepared with AI assistance using the current public product and linked references. Practical checklists and illustrative examples are original planning aids. They do not establish product guarantees or replace a situation-specific review.