Welcome to VerifEye

VerifEye verifies that a real, unique human is on the other end of a session — from a selfie, in about three seconds, without collecting government IDs and without storing personally identifiable information. Proven at 1B+ verifications per day (11k+ per second).

One lightweight capture answers four questions at once: is this a live human, are they unique across your accounts, what is their age range, and is it still the same person controlling the account over time.

Get started in 5 minutes

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Drop our Redirect URL into your flow — no SDK install, no backend work

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Choose your integration path

Most teams start with Redirect to validate the use case, then evolve to Cloud API or on-prem SDK as their needs mature. Each tier has a different architecture — particularly around who manages the biometric collection — so the right choice depends on your control, compliance, and volume requirements.

Tier 1 · Redirect — Start here

Turn-key hosted flow. Point your users at a VerifEye URL and we guide them through a browser-based camera experience, running the verifiers you've configured (liveness, face recognition, age and gender). Supports full-page redirect, embedded iframe, and popup integration patterns. We handle consent capture, biometric capture, data storage, and backend processing — you handle your privacy policy. Ships with API signatures and webhooks for production hardening.

Best for: initial validation, pilots, lowest engineering lift

Redirect quickstart →

Tier 2 · Cloud API & SDKs

Full flexibility, your UX. Call our REST API directly or embed our mobile and web SDKs. You own the user experience; we run the models in our cloud and manage the biometric collection on your behalf.

Best for: native apps, custom UX, server-to-server integrations

REST API reference →

Tier 3 · Private SDKs

On-prem, edge, or private cloud. Run the same models inside your own data center, private cloud, or at the edge. You manage the biometric collection entirely within your environment. Best unit economics at volume, full data residency control, and no external network dependency. C++ libraries for Windows, Linux, macOS, iOS, and Android.

Best for: regulated industries, high-volume deployments, sovereign data requirements

Native SDKs →

On the roadmap: client-side models running fully in-browser and on-device for the lowest possible latency and zero server round-trip.

What VerifEye can do

A single selfie capture drives multiple capabilities. Choose what you need for your use case — you can enable more over time from the same integration.

Capability	What it answers
Liveness detection	Is this a real, present human — not a photo, mask, deepfake, or injected video feed?
Uniqueness (1:N)	Has this person already created another account in your system?
Re-verification (1:1)	Is this the same person who originally set up the account? Use at login, high-risk actions, or account recovery.
Age & demographics	Is the user within a required age range? What demographic signals exist for fraud analytics?
Continuity of control	Silent, continuous re-verification to detect when account control has transferred to someone else.
Account recovery	Restore access when a user has lost their device, password, or passkey — using their face as the durable credential.

AI-friendly documentation

Use AI coding assistants to accelerate your VerifEye integration. Copy and paste this prompt into Claude Code, Cursor, or your preferred AI assistant:

Please read the VerifEye documentation from https://verifeye-docs.realeyes.ai/llms.txt and help me integrate face verification into my application.

View the AI context file

Support

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Last updated: 2026-05-04