Capture government ID
Front + back capture with auto-classification across 200+ document types.
Most IDV stops at a selfie + ID match. Ethur goes further — cross-checking the verified name against payroll-direct employment and bank-direct deposit records. Synthetic identities have nowhere to hide.

Generative AI can produce a perfect selfie, a perfect ID, and a perfect liveness video. The only defense is to anchor the verified identity to real-world records — payroll, bank, and biometric history.
ID image analysis, hologram detection, and NFC chip read where supported (passport, eID).
FIDO-grade liveness that resists deepfake injection and replay attacks.
Selfie matched to ID portrait at 99.7% accuracy with bias-tested models.
Verified name reconciled against payroll-direct and bank-direct records.
Address validated against credit-header, bank, and postal data.
Optional post-onboarding biometric re-check for high-trust workflows.
A 60-second flow that verifies the person — and proves they exist outside the screen.
Front + back capture with auto-classification across 200+ document types.
Where the document supports it, NFC delivers cryptographically signed identity data.
Selfie matched to ID portrait under FIDO-grade liveness.
Verified name reconciled against payroll, bank, and address records — synthetic IDs surface here.
Start a free trial in minutes, or get a tailored walkthrough with our team.
Passive liveness checks micro-textures and depth signals that current generative models can't reproduce. We also reject any session showing injection-attack indicators, then anchor the result to payroll and bank reality.
200+ ID types across 200+ countries — driver licenses, passports, national IDs, residence permits, and more.
Templates are stored encrypted with per-tenant keys; raw selfies and IDs are retained only as long as your retention policy allows.