HOW IT WORKS

A Check That Proves A Real Human, Without Learning Who They Are

The fastest way to understand it is to take the check yourself.

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THE PIPELINE

A Check That Runs Where The Respondent Already Is: Their Browser

01. Opens Where They Already Are

The check loads in the respondent's browser when they reach your survey. No app to install, no redirect maze, no friction.

02. About Five Seconds, On The Device

Passive multi-signal analysis runs locally: face geometry (optional), micro-movement, device and session. The camera feed never leaves the device.

03. A Signed Verdict, Pre-Survey

You receive a signed result, real human, unique, not a bot, before they answer a single question. Fraud is stopped at the door rather than cleaned up later.

WHY IT TAKES A FEW SECONDS

Those Seconds Are The Privacy Guarantee

Most fraud tools feel instant because they ship your respondent's data to a server: IP address, a device fingerprint, a selfie, sometimes a government ID. VerifyHuman does the opposite.

The analysis runs on the respondent's device. Those few seconds are real biometric and behavioural processing happening locally. What leaves the device is a 128-dimensional geometric signature that cannot be reversed into an image of a face. Never a photo, never a name.

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WHERE THE FACE GOES

Privacy-Protective By Design

No Image Ever Leaves The Device

The camera feed is processed in-browser and discarded. Nothing is uploaded or stored.

Identity Never Learned

No name, email or document, and the IP is never used as an identity. Only a non-reversible geometric signature.

Minimal Signals Only

No images or video are stored, and only the minimal de-identified signals needed to detect fraud are processed.

ONE LADDER, TWO LAYERS OF PROOF

Invisible By Default, Camera Only When It's Earned

Same SDK, same API. Every respondent is scored invisibly first, often with no code on the page. The camera is the strongest rung, invoked only when the risk earns it or your study demands biometric proof.

The Floor, For Everyone: Invisible And Non-Biometric

Network, device, behavioural and reputation signals, with no camera and, server-side, no code on the page at all. This clears the honest majority silently and stops bots, click farms and AI agents on its own.

The Step-Up, When Earned: Biometric Camera

The face is the one thing a fraudster cannot swap. They can spin up a fresh device, a clean IP and human-like behaviour, and still fail here, because they cannot become a different, live person on demand. It proves a real, present human and that they have not already taken your study.

DEMOGRAPHIC CHECK, BETA

Catch Demographic Fraud On-Device, In The Same Five Seconds

In biometric mode, VerifyHuman estimates an age range and gender from facial geometry, in the browser, so you can compare it against what the respondent claimed. It catches the 45-year-old who says he is a 24-year-old woman to qualify for a quota.

Like everything else: derived from geometry, computed on-device, never stored, never an image. Beta, and an estimate to compare against rather than a verdict on its own.

READY TO VERIFY

Convinced It Works? See What It Costs

Pay per verification, with the rate dropping as volume grows.

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