Find where a face appears online.
Upload one photo. Facehunch finds public pages showing the same face, then shows you each page, its link and how close the match is.
Three steps from a photo to real answers.
No account forms, no monthly plan. Sign in with an email code when you run your first search.
Upload a clear photo
A front-facing photo with one face works best. Add a name if you know it, and we will rank pages that mention it higher.
We search the face index
Your photo is compared against faces on public web pages. Your upload is deleted from the search provider when the search finishes.
Open every source
Each result shows the page it came from and a 0–100 similarity score. Your report is saved, and the research assistant can help you check it.
Check the person behind the photo.
Facehunch is built for checking people you are already dealing with, and for protecting your own image.
Check a dating match
Find out if their photos belong to someone else before you meet, send money or share more.
Catfish check
Vet a seller, landlord or new contact
See whether the face behind a listing or a LinkedIn message shows up under another name.
Verify a listing
See where your own photos appear
Search your face to find reposts, scraped profile pictures and sites using your photos without asking.
Audit your footprint
Document an impersonator
Collect every page using your likeness with links and dates, ready for a takedown or platform report.
Build a reportA report you can actually check.
Results come with the page each face was found on, so you judge the context yourself instead of trusting a thumbnail.
Daniel R.
4 sources · top score 94 · 52s
Example report. The person, pages and photos are fictional.
Built for one job: finding faces.
General image search looks for copies of the same file. A face search finds different photos of the same face.
| Feature | Facehunch | Google Lens / TinEye | Subscription face engines |
|---|---|---|---|
| Finds different photos of the same face | Mostly copies and objects | ||
| Source link on every result | Often behind a paid tier | ||
| Pricing | $4.99 per search, no subscription | Free | Monthly plans |
| Name-aware ranking and saved reports | Varies | ||
| Research assistant with cited sources |
Try a free copy search first if you only need the original of one image. Face search engines compared
Pay per search. Nothing recurring.
Buy a pack once, use it whenever you need it. Credits never expire and there is nothing to cancel.
One search
Check one profile or one photo.
- 1 face search
- Source link on every result
- Saved reports and research assistant
- Credits never expire
Five searches
$3.80 per search · Compare several photos of the same person.
- 5 face searches
- Source link on every result
- Saved reports and research assistant
- Credits never expire
Ten searches
$2.90 per search · For regular checks and self-audits.
- 10 face searches
- Source link on every result
- Saved reports and research assistant
- Credits never expire
One credit per search, including searches with no matches. Secure checkout by Stripe. Prices in USD.
For verification, not surveillance.
Every search requires an account and a confirmation that you have a legitimate reason. Misuse gets accounts closed.
Good reasons to search
- Checking a dating match or online friend before meeting
- Verifying a seller, landlord, freelancer or business contact
- Finding where your own photos are posted
- Collecting evidence of an account impersonating you
Not allowed
- Identifying a stranger you photographed in public
- Finding where someone lives or tracking a person
- Searching anyone under 18
- Contacting someone who has cut contact with you
What is a reverse face search?
A reverse face search takes a photo of a face and looks for other public web pages that show a similar face. Unlike Google Lens or TinEye, which look for copies of the same image, a face search can find different photos of the same-looking person: a conference photo, a team page or an old profile picture.
How much does Facehunch cost?
Searches are prepaid: $4.99 for one, $19 for five or $29 for ten. There is no subscription, no auto-renewal and credits do not expire. One credit runs one search, including a search that returns no matches. See pricing.
Where do the results come from?
Facehunch searches a face index of public web pages, then adds name-aware ranking, a saved report and a research assistant on top. Every result links to the page it was found on, so you can check the context yourself.
Is a high similarity score proof of identity?
No. A score tells you how alike two faces look, not who someone is. Lookalikes are common. Treat a strong match as a lead, open the source page and confirm with other evidence before acting on it.
Who is it for?
People checking that someone they already talk to is real: a dating match, a seller, a landlord or a new business contact. It is also for finding where your own photos are used and for documenting impersonation. It is not for identifying strangers, and searching children is not allowed.
Can it find private Instagram or Facebook photos?
No. Only publicly reachable pages can appear. Private accounts, closed groups and pages that block indexing will not show up, so an empty result does not mean a person has no online presence.
Search smarter, stay safe.
How to find someone with a picture, safely and accurately
How to find someone with a picture for a good reason: free reverse image search, then face search, then confirm on the source page. Limits included.
Read guide Online safetyHow to Spot a Fake Dating Profile: Signs, Photo Checks, Next Steps
Spot a fake dating profile: the warning signs that matter, a step-by-step photo check, what verification badges prove, and what to do if it's a catfish.
Read guide Understanding resultsGoogle Lens face search: what it can and cannot do
Can Google Lens search a face? It finds copies and lookalike images, not identities. Steps for phone and desktop, its limits, and when a face search helps.
Read guideFind where a face appears online.
Upload a photo, get every matching page with its link and a similarity score. $4.99 per search, no subscription.