FaceOnLive
Verified working Aug 19, 2026
On-prem biometric SDKs for private face and ID checks.
FaceOnLive provides deployable biometric AI software for face recognition, liveness checks, deepfake detection, ID document reading, and eKYC workflows. Its main focus is organizations that want biometric processing to run inside their own infrastructure or on users’ devices rather than through a hosted verification cloud.
Why it stands out
- Designed around local processing rather than routing faces and IDs through a vendor cloud.
- Flat licensing model is positioned for high-volume use without per-verification charges.
- Supports air-gapped and offline deployments for regulated or sensitive environments.
- Combines face biometrics, document authentication, liveness, and deepfake detection in one product family.
- References external evaluation/certification signals such as NIST FRVT and iBeta PAD Level 2.
Good to know
- The primary SDKs appear to be enterprise software requiring a license and technical integration, not a simple plug-and-play consumer app.
- On-premises deployment means customers are responsible for infrastructure, scaling, monitoring, and compliance operations.
- Pricing details are not listed publicly on the extracted page, so teams likely need to contact sales for licensing specifics.
Photos

Identity and compliance teams can add face matching and document verification while keeping biometric data under internal control. Verify passports, licenses, or ID cards during fintech, gaming, telecom, or marketplace onboarding. Run liveness and anti-spoofing checks in offline, air-gapped, or private-cloud environments. Embed face authentication or verification into iOS, Android, Flutter, or React Native apps. Test related public tools for face search or AI/deepfake image detection before evaluating the SDKs.
On-premises and on-device SDKs for face recognition, passive/active liveness, deepfake detection, ID document OCR/MRZ/barcode parsing, document liveness, and end-to-end ID verification. Deployment options include Docker-based server inference with a REST interface, native mobile SDKs, and language support across Python, Kotlin, Swift, Java, Flutter, C++, and .NET.
Technical Notes
- Licensed server deployments can expose local REST inference endpoints for biometric and ID-verification results.
- The page describes SDK-level access rather than a public hosted API, with no per-call fee model for licensed deployments.
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