Zenoo
Biometrics ● Integrated

Rekognition

Amazon

Match a selfie to an ID photo and run liveness checks with Amazon Rekognition, available as a pre-built connector in Zenoo flows.

At a glance
Company Amazon Web Services
Category Biometrics
Integration Integrated
Strongest in Face comparison and liveness for AWS-based builds
Best fit Engineering teams on AWS adding biometric checks to a flow
OverviewKey strengthsBest forWhat you can buildConsiderationsHow it works with ZenooPairs well withAlternativesFAQ

Overview

Amazon Rekognition is AWS's image and video analysis service. In an onboarding context it is used for face comparison, matching a selfie to the photo on an ID document, and for its Face Liveness feature, which checks that a real person is present rather than a photo or replay. It suits teams already building on AWS who want biometric checks as part of a wider verification flow.

Key strengths

Face comparison and liveness. Compares a live selfie against an ID photo and offers a Face Liveness check to counter photo and video spoofing, both core steps in remote identity verification.

AWS-native and pay as you go. Runs as a managed AWS service with usage-based pricing and scales with demand, which fits teams already invested in the AWS platform.

Building block, not a black box. Exposes the underlying biometric primitives, giving engineering teams control over how face matching and liveness fit into their own decision logic.

Best for

Teams already building on AWS who want biometric face matching and liveness
Engineering-led builds that want low-level control over verification steps
Adding a selfie-to-document check inside a broader onboarding flow

What you can build

Matching a selfie to an ID document photo during remote onboarding
Adding a liveness check to counter photo and replay spoofing

Considerations

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

A component, not a full IDV product. Rekognition provides face comparison and liveness, not document authentication, data checks, or a compliance decision. Pair it with a document verification provider in the same Zenoo flow to complete the journey.

You own the orchestration. As an AWS primitive it leaves capture, retries, thresholds, and audit logging to you. Zenoo handles that surrounding journey so the biometric call is one step rather than a project.

How it works with Zenoo

Whatever the gaps, orchestration covers them

Configure Rekognition 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

IDLive FaceFaceTeciProovDaon

Frequently asked questions

How does Amazon Rekognition 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.

Does Rekognition verify identity documents?

Its focus is face comparison and liveness, not document authentication or data verification. Most teams pair it with a document verification provider in the same Zenoo flow.

Is Rekognition a full identity verification product?

No, it is a biometric building block within AWS. Zenoo lets you combine it with document, data, and screening providers to form a complete onboarding decision.

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