WhoIsThisFace
Reverse face search: find where a face appears online
Reverse face search flips the normal direction of looking things up. Instead of typing a name and finding photos, you start with a photo and find everything attached to that face — profiles, posts, listings, and mentions across the public web.
It's the tool you reach for when a name is the one thing you can't trust: a dating match, an online seller, a new contact whose story doesn't quite add up. Upload the photo, and let the face do the talking.
How the technology works
When you upload a photo, the system first locates the face in the frame and normalizes it — correcting for angle, lighting, and size. It then converts the face into an embedding: a compact mathematical fingerprint of a few hundred numbers that captures the geometry of the eyes, nose, jaw, and the distances between them.
That fingerprint is compared against millions of pre-indexed faces using similarity scoring. Two photos of the same person produce nearly identical fingerprints even if the photos differ in age, lighting, glasses, or facial hair. The result is a ranked list of matches, each scored from 0 to 100.
Face search vs. reverse image search
Traditional reverse image search — Google Images, TinEye — matches pixels. It excels at finding the exact same image file or lightly edited copies, but it fails when the same face appears in a different photo: new background, different crop, different camera.
Face search matches people, not pictures. A selfie lifted from Instagram and reposted to a dating profile with filters and a tighter crop still matches, because the underlying face geometry is unchanged. That's the difference that matters for verification: scammers rarely reuse a photo untouched.
What you can use it for
The most common use is vetting people you meet online — dating matches, marketplace sellers, remote-roommate applicants, anyone whose identity rests on photos. A second use is self-search: finding out where your own face appears, which surfaces impersonation accounts and unauthorized reuse of your photos early.
Journalists and researchers use face search to trace the origin of viral images. Parents use it to check who their teenager is video-calling. The common thread is the same: a face is the one identifier people can't easily fake across contexts.
Limits and honest expectations
No face index covers the entire internet. Private accounts, closed messaging apps, and pages blocked from crawlers are invisible to any search tool — ours included. A no-match result means 'not found on the indexed public web,' not 'this person doesn't exist.'
Photo quality matters. A blurry, side-profile, or heavily filtered image produces weaker fingerprints and lower scores. For best results use a clear, front-facing photo where the face fills a decent part of the frame. One strong photo beats five mediocre ones.
Frequently asked questions
Is reverse face search free?
The search is free: you upload a photo and see how many matches exist and on which domains. Unlocking the full result pages, links, and thumbnails costs a one-time $3.99, or $3.59 paid in crypto.
Do you store the photo I upload?
No. Your uploaded photo is used to run the search and then deleted. We keep the search results — domains and scores — so you can revisit them, but not the image itself.
Can it find someone from a screenshot or a group photo?
Screenshots usually work well if the face is reasonably sharp. For group photos, crop to the person you care about first so the detector locks onto the right face.
How is this different from uploading to Google?
Google matches images; we match faces. If the same person appears in a completely different photo, Google will miss it and face search will catch it. They're complementary tools, and face search is the stronger one for identity questions.