One account per person, whatever the email.
Sign-up protection
Passive signals on every session, an anonymous HumanCheck only when risk calls for it, and cross-network matching. All in one platform.
We pair passive and active signals to block fraud, add friction only for people who look risky, and land at a fraction of the cost of KYC.
One person, one account, whatever email or device they bring.
A banned face stays on record, so a new account doesn't bring them back.
An anonymous signal when someone was flagged elsewhere in our network. We never say which platform.
We keep a face code, a template made from the face, to answer one question: have we seen this person before?
01
They run in the background of every session, score the risk and keep a history of it. You set the workflow to fit your needs.
02
If the signals look risky, a selfie of about 3 seconds proves a live, unique person. Good users never see it.
03
Tag what needs a look, batch it and set a re-verify for later.
Every check carries its own settings, so a strict payout gate and a light checkout run side by side in one workspace.
Once per lifetime
A permanent decision, like opening an account. One person, one pass, forever.
Once per period
Something recurring, like a weekly payout. One pass, then a wait before the next.
A few per period
A set number of passes inside the window you choose, then nothing until it resets.
Unlimited
A checkout or a login, where you only need a live human present.
Control how many times one person may pass. It counts successful passes, not attempts.
Set a minimum estimated age from the face scan, with no document to upload. Thresholds at 13, 16, 18 or 21 and over, or one you set.
Returns an estimated range, not a precise year. Not legally sufficient for regulated products like alcohol, gambling or firearms: pair it with proper ID verification for those.
Somebody returning inside a window you set passes without scanning again. It still counts as a verification: skipping saves them friction, not you a check.
Gate on where a connection surfaced: a VPN, a datacenter, a Tor exit. Worth reading as where the traffic came out, not where the person is.
What changes once each account has one real person behind it.
$150K
$150,000 in fraud loss, stopped within 3 weeks of starting, without requiring any dev effort on their end.
0 of 1,650
Presentation attacks (photos, masks and replays) that got past our liveness engine in iBeta's testing.
~3 sec
About 3 seconds per check.
350+
Over 80 active and over 350 passive signals on every check.
50 to 100x
50 to 100 times cheaper than KYC.
Our co-founder and CTO, Marty Weiner, scaled the anti-evil and safety teams at Pinterest and Reddit.
VerifyYou platform walkthrough · 6:11
Start with a free pilot: see what the check catches on your own users, with no dev work to begin.
With tools like VerifyYou, AI becomes a force for good. It helps prevent AI-driven fraud and can be done with much lower friction than what we built over the years.
We keep a face code, not the photo, and hold it under SOC 2 Type II and ISO 27001:2022 compliant controls.
No images stored. VerifyYou does not store images.
No ID or documents. HumanCheck anonymously confirms there is a real, live, unique person, with no name or ID.
A face code, not a photo. We treat it as sensitive biometric data.
No. KYC confirms who someone is. HumanCheck anonymously confirms there is a real, live, unique person, without asking who they are. If you need a named legal identity, keep your KYC for that and add HumanCheck on top, anonymously. If you mainly need real people, no duplicates and no bots, an anonymous HumanCheck can replace the document step entirely.
VerifyYou does not store images. We keep a face code, a template made from the face, on purpose: without it we couldn't tell a returning person from a new one, and someone you blocked could come straight back under a new email. We treat it as sensitive biometric data. For exact categories, retention periods and rights, the privacy policy is the binding source.
Duplicates are judged inside your own user base, and you can scope that to a single batch, such as one sale or one study. Separately, if a person has been flagged elsewhere in our network, you get an anonymous signal. We never say which platform.
Run real volume in 15 minutes with our no-code integration, or get live in a few hours with our code integration: two API calls, one to start a check and one to confirm the result.
You pay per verification, priced on your volume, and it runs 50 to 100 times cheaper than KYC. Tell us your volume and we'll give you a number, or see the pricing page.
Yes. Most teams keep what they already run and add HumanCheck as the active, anonymous layer on top.

Blog
The Best Human Verification Platforms in 2026
Human verification covers four different product categories that solve four different problems. This guide separates them, compares what each one confirms, and shows which published prices vendors actually disclose.
Read the post
Blog
Human Verification vs. Age Verification: They're Solving Different Problems
Two different questions, two different tools. Conflating them is how you end up with bad policy, annoyed users, and a pile of government IDs stored somewhere you'd rather not think about.
Read the postWhite paper
Proof of Human, on the Phone You Already Have
What proof of human has to do, and how HumanCheck anonymously confirms a live, unique person with a phone.
Read the paperStart a free pilot. We'll set up your first verification with you and walk a live check through end to end.


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