Zenoo
Biometrics ● Integrated

Selfie ID Verification

GBG

Confirm a real, present person with Zenoo integrated with GBG Selfie ID Verification, using facial matching and liveness detection.

At a glance
Company GBG
Category Biometrics
Integration Integrated
Strongest in Selfie-to-document matching with liveness
Best fit Document flows needing a biometric anti-impersonation layer
OverviewKey strengthsBest forWhat you can buildConsiderationsHow it works with ZenooPairs well withAlternativesFAQ

Overview

GBG Selfie ID Verification confirms that the person completing onboarding is real, present, and matches their identity document, using facial comparison and liveness detection. It suits flows that need a biometric anti-impersonation layer on top of a document check.

Key strengths

Face match to document. Compares a live selfie against the photo on a verified identity document, so the person presenting the ID is the person it belongs to.

Liveness detection. Checks the selfie comes from a live person rather than a photo, screen, or mask, which defends against basic presentation attacks.

Part of a broad identity suite. Sits within GBG's wider identity and document-verification portfolio, so biometric and document checks come from one provider relationship.

Real-time decisions. Returns a match-and-liveness result quickly, which keeps the onboarding step short for genuine users.

Best for

Regulated onboarding that needs a biometric anti-impersonation check
Flows already using document verification that want a selfie match on top
Higher-risk journeys where confirming a present person matters

What you can build

Confirming a present person matches their ID during account opening
Adding a selfie match to an existing document-verification flow
Anti-impersonation checks on higher-risk transactions

Considerations

Honest notes from community data, each with a way to cover the gap inside a Zenoo flow.

Needs a document to match against. Selfie verification is most useful paired with a document check that provides the reference photo. In a Zenoo flow, run it after document capture so there is an image to compare against.

Injection and deepfake attacks evolve. Liveness defends against many presentation attacks, but synthetic media and camera-injection techniques advance quickly. For high-risk flows, layer a dedicated injection or AI-media detection provider alongside it, which Zenoo can add in the same flow.

Capture conditions affect pass rates. Poor lighting or low-quality cameras can cause false rejections. Build a retry and manual-review fallback rather than failing genuine users on first attempt.

How it works with Zenoo

Whatever the gaps, orchestration covers them

Configure Selfie ID Verification in no-code Studio, then add fallback and waterfall logic so onboarding stays live. One contract, one integration, one audit trail across every provider.

Pre-built connector, no custom build
Fallback to a second provider on failure
One contract, one invoice
Unified audit trail across vendors

Pairs well with

Chain these into the same Zenoo flow so one journey covers every check.

Alternatives

iProovFaceTecOnfidoDaon

Frequently asked questions

How does GBG Selfie ID Verification work with Zenoo?

Through a pre-built connector. Configure it in no-code Studio, add fallback logic, and get one contract and a unified audit trail across every provider in the flow.

Do I need document verification as well?

Usually yes. The selfie is matched against the photo on a verified document, so pairing it with GBG Document Authentication gives the reference image. Zenoo runs both steps in one flow.

How does it handle deepfakes?

Liveness detection defends against many presentation attacks. For higher-risk flows you can add a dedicated AI-media or injection detection provider alongside it in the same Zenoo flow.

Compare in a live flow

30 minutes. Your data. No slides.

Book a demo