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Face search

Facial recognition search engine for the public web

A facial recognition search compares the face in a photo you upload with faces that appear on publicly accessible web pages, and returns the pages where a similar face was found. FaceSearch uses face recognition to compare, not to identify. There are no names, no database of people, and no claim about who anyone is.

First search free. No account needed. Updated November 5, 2026 by The FaceSearch Team.

What a facial recognition search means

Facial recognition is a family of techniques that let a computer tell whether two pictures show the same face. A facial recognition search applies that to the open web: you supply one face, and the engine looks through faces it has already seen on publicly accessible pages for the ones that resemble it most. The output is a list of pages, ranked by resemblance, with the matched image on each.

That is a narrower thing than the phrase suggests. The same underlying technique powers three very different products: phone unlock, which checks one face against one enrolled owner; identification systems, which check one face against a database of named people; and similarity search, which finds look-alike faces among public images without knowing who any of them are. FaceSearch is the third kind. Understanding the difference tells you what a result can and cannot mean.

Identification vs similarity: why the difference matters

Identification systems compared with a similarity search
Identification systemSimilarity search (FaceSearch)
What it answersWho is this person?Where else does a face like this appear in public?
NeedsA database of enrolled, named peopleAn index of faces found on public web pages
OutputA name or an identity recordPublic pages and the images on them, ranked by resemblance
Who uses itGovernments, border control, some employersIndividuals checking their own footprint, verifying who they are dealing with
When it is wrongAn innocent person is accused or detainedA look-alike page appears in a list you read with judgement
What FaceSearch doesNever. We hold no identities and name nobodyYes, on publicly accessible pages only

Because FaceSearch holds no identities, it cannot tell you a name, and it never tries. A result means one thing: a page the public can already open shows a face that resembles the one you uploaded. Whether it is the same person is for you to judge from the page itself, which is why reading your results carefully matters more than the number of matches.

How FaceSearch uses face recognition

  1. Find the face

    After the photo's metadata is stripped and the image re-encoded, the engine locates the face in it. One clear, front-facing face works best; the photo tips page explains why.

  2. Describe the face as numbers

    The face is turned into a compact mathematical description of its geometry and texture. This description is what gets compared. It is not a picture, and it cannot be turned back into your photo.

  3. Compare with faces from public pages

    The description is measured against descriptions of faces found on publicly accessible web pages. A normal search covers the core set; a deep search covers more sources and takes longer.

  4. Rank and show the pages

    The closest faces come first. Each result shows the matched image and links to the page it was found on. On the Free plan the top results are visible with the links locked; paid plans unlock every link.

What you get back

  • Pages, not people. Every result is a public URL. There is no name field, no profile card, and nothing is inferred about the person.
  • Resemblance order. Results are ranked with the closest face at the top. A high position is a strong lead and a weak proof; two unrelated people can look very alike to a computer.
  • The matched image as it appears on that page, so you can see immediately whether it is you, a look-alike or a mistake.
  • A saved scan in your history when you are signed in, which you can reopen or delete at any time.

Searching for your own face is lawful everywhere FaceSearch operates. Searching for another adult's face, for an ordinary purpose such as checking the person you are about to meet or trade with, is lawful in most places, but biometric and data-protection laws differ: the EU and UK treat face data as a special category, Illinois and a few other US states regulate biometric identifiers, and India's Digital Personal Data Protection Act sets its own rules. Some uses, such as employment, tenant, credit or insurance decisions, are restricted or prohibited outright. The legal guide walks through each region. Our own rules are shorter and stricter: see acceptable use.

Free and paid

Your first facial recognition search is free and needs no account. A free account adds two more credits with the top results visible and source links locked. Paid plans start at $5 a week on Starter, with every link unlocked and three deep searches included. The free face search page compares what free shows here and on other engines.

Questions

02Does FaceSearch identify people?

No. FaceSearch compares the face you upload with faces on public web pages and returns the pages. It holds no names or identity records and makes no claim about who anyone is. If a result page names someone, that is the page's claim, not ours.

03Does it search social media?

Only the parts that are publicly accessible without logging in. Public pages that happen to be on a social platform can appear; private profiles, stories, direct messages and anything behind a login cannot. The platform pages explain where that line falls on each app.

04Does it work on side profiles or partly covered faces?

Less well. The description the engine builds relies on seeing the main features of the face. A three-quarter view usually works; a full side profile, sunglasses, a mask or heavy shadow reduce the chance of a match. A second, clearer photo is the usual fix.

05What about twins and look-alikes?

Identical twins and strong look-alikes will often match each other, because the engine measures resemblance, not identity. Treat a close match as a lead, open the source page and confirm it with the name, place or date on that page.

06How is this different from Google reverse image search?

Google Lens, TinEye and Yandex look for copies of the same picture. A facial recognition search looks for the same face in different pictures. For a stolen-photo problem you will often run both; the Google Lens comparison page sets them side by side.

07Is my photo stored or added to a database?

The photo is used to run your search, with its metadata stripped first. It is never sold and never used to build a face database of users. A saved scan sits in your history until you delete it, and deleting your account removes everything.

Your face is out there. Find it first.

Search with a photo

Public pages only. Your photo is never sold and never used to build a face database.

We'd like to use analytics cookies to understand how FaceSearch is used and improve it. Your photos and account pages are never recorded. Privacy policy