BE Biometrics

Betaface

Facial recognition and face detection API that can run as a biometric step inside your Zenoo flows.

At a glance

Overview

Betaface overview

Betaface offers a REST API for face detection, matching, and basic facial attribute analysis. It suits prototypes, demos, and low-volume projects that need simple face detection without heavy integration. For regulated, high-volume onboarding, pair it with a dedicated identity provider inside Zenoo.

Company
Betaface
Category
Biometrics
Strongest in
Basic face detection
Best fit
Prototypes and low-volume projects

Where it is strongest

Key strengths

What Betaface does well.

01

Low-cost entry point

Community reports cite pricing from around $0.001 per API call, which makes Betaface viable for prototypes and early-stage projects.

02

Simple REST API

A straightforward REST interface handles basic facial recognition and matching without a complex integration.

03

Fast basic detection

Community reports cite sub-second response times for basic face detection and matching.

Who it suits

Best for

Where Betaface fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Non-regulated prototypes and demos
  • Low-volume projects with basic face detection needs
Considerations
  • Accuracy varies across use cases. Some reports suggest accuracy is uneven on diverse ID types and at higher volumes. In Zenoo, route regulated onboarding through a proven biometrics provider and keep Betaface for non-critical detection.
  • Documentation and support. Some community reports describe dated documentation and slow email-only support. Zenoo's single connector and fallback routing reduce the impact if a check does not return cleanly.
  • Compliance certifications. Published detail on formal certifications is limited. For regulated flows, pair Betaface with a certified identity provider in Zenoo so the compliance evidence trail stays intact.
You

Open the customer's case

What your team sees

The Betaface result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
BetafaceVerified
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
Zenoo

Hands it to your team

Verification is the first step. Compliance Hub handles the rest.

Once a customer is verified, screening and review happen in Compliance Hub. A possible PEP match lands in your team inbox with the evidence and the full history beside it. Zenoo suggests, your team decides.

Pairs well with

Alternatives

More in biometrics

You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.