Product

Enterprise Face Recognition SDK for Private Deployment

Integrate high-performance 1:1 face verification and 1:N face identification into your applications with FacePlugin. Powered by NIST FRVT-evaluated algorithms, the SDK delivers fast, accurate biometric matching while running entirely on your own infrastructure—keeping every face template and biometric record private and under your control.

Face Verification Animation
Face
Identity Verified
Face Match 99.98%

1:N

Identification at scale

NIST

FRVT-evaluated

<1s

Template matching

0

Per-match fees

FacePlugin’s Face Recognition SDK gives developers production-grade facial recognition that runs where your data already lives — your own servers, private cloud, or directly on a mobile device. It converts a face image into a compact, irreversible biometric template and compares templates for 1:1 verification (is this the same person?) or 1:N identification (who is this person in a gallery of millions?).

Because the SDK is deployed on-premises, biometric data and matching never touch a third-party API. That makes it a natural fit for banks, governments, healthcare providers, and any organization with strict data-residency, privacy, or air-gap requirements. You license the software once and run unlimited matches — there are no per-call fees and no usage metering.

Accurate 1:1 verification and 1:N search

Confirm identity for login and onboarding, or search a face against a gallery of millions of templates in milliseconds. The same models power both, so you can grow from verification to large-scale identification without re-integrating.

Face Recognition
Enrolled face Enrolled Face
98.7%
Live face capture Live Capture
Face detected Confirmed
Similarity score 98.7%
Processing time 84 ms
Match threshold 70%
Identity Confirmed 98.7% similarity · verification passed
On-premises
Capabilities

Everything you need for face recognition

From detection and alignment to template extraction and comparison, all in one SDK.

1:1 verification

Confirm a face matches a registered template with high confidence for login, payments, and access control.

1:N identification

Find a person in a gallery of millions with fast, scalable template matching on your own hardware.

On-premises server

Deploy on Linux with Docker. Biometric data and match results never leave your infrastructure.

Liveness-backed matching

NIST-evaluated face recognition combined with presentation-attack detection stops photos, videos, and masks.

On-device mobile

Run face recognition offline on iOS, Android, Flutter, and React Native with no network round-trip.

Fast matching

Sub-second template extraction and comparison for a smooth user experience at any scale.
Face Verification Animation
Face
Identity Verified
Face Match 99.98%
Use cases

Deploy on-premises or on-device

Run the server SDK on your own Linux backend, or embed the native library on Android, iOS, Flutter, C++ and .NET for fully offline recognition. Either way, templates stay under your control.

Server SDK (Linux / Python) for your backend

Air-gapped and VPC-friendly

Air-gapped and VPC-friendly

FAQ

Frequently asked questions

No. All face recognition and biometric processing take place within your own servers, private cloud, or on-device environment. Your data always stays under your control.

Face verification (1:1) compares two faces to confirm they belong to the same individual, while face identification (1:N) searches one face against a database to find a matching identity.

FacePlugin provides native SDKs for Linux, Android, iOS, Flutter, Windows C++, and .NET, allowing seamless integration into your applications without relying on cloud APIs.

The SDK is built on algorithms evaluated in industry-recognized benchmarks and offers configurable matching thresholds to achieve the right balance between security and usability.

No. After licensing the SDK, you can perform unlimited face matching and verification on your own infrastructure without per-call or per-match charges.

How it works

Integrate in three steps

Enroll

Capture a face, generate a biometric template, and store the vector in your own database.

Match

Compare a live capture against one template (1:1) or the whole gallery (1:N).

Decide

Return a similarity score and threshold decision your application can act on instantly.

Related SDKs

Explore the platform

Face Recognition SDK

Accurate 1:1 and 1:N face matching on your own infrastructure.

Face Liveness SDK

Passive and active anti-spoofing that stops presentation attacks.

ID Verification Suite

End-to-end eKYC when you need to verify identity at onboarding.

Deploy biometric AI on your own terms

Talk to our team about on-premises face recognition, liveness, and eKYC — or dive into the developer docs.

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