OCR Labs
AI-Powered Biometric and Document Verification
OCR Labs (now part of Giesecke+Devrient) is an Australian AI-powered identity verification and document authentication platform. The company built its reputation on best-in-class liveness detection and passive biometric verification — earning top rankings in independent NIST/iBeta testing. OCR Labs' Global ID solution combines automated document verification with face match and liveness detection into a single API call, eliminating active participation steps that reduce conversion. The platform supports thousands of ID document types globally and uses AI to detect presentation attacks (printed images, masks, deepfakes) with sub-second decisioning. Acquired by Giesecke+Devrient in 2023, OCR Labs benefits from G+D's deep government identity and secure document manufacturing expertise.
At a glance
Built for
Banks · Fintechs · Government · Telcos · Enterprise
Based in
Sydney, Australia (acquired by G+D, Munich)
Founded
2017
Official source
ocrlabs.comProfile snapshot
The essentials at a glance
A concise overview of where OCR Labs fits in the financial crime technology landscape.
Category
Document Fraud
Customer focus
Banks, Fintechs, Government, Telcos, Enterprise
Headquarters
Sydney, Australia (acquired by G+D, Munich)
Typical deployment
1–3 weeks
Capabilities and implementation
What this vendor profile covers
Use these published details to understand the vendor’s broad scope and implementation surface before moving into personalized analysis.
Directory detail
Public capabilities
- Liveness Detection
- Biometrics
- Document Verification
- Passive Verification
- Deepfake Detection
- NIST Tested
Directory detail
Deployment options
- Cloud / SaaS
- API
- SDK (iOS, Android, Web)
Directory detail
Common integrations
- REST API
- SDK
- Core banking systems
- Compliance platforms
Directory detail
Trust and support details
- ISO 27001
- SOC 2 Type II
- iBeta Level 1 & 2 Certified
- GDPR Compliant
- Dedicated Account Manager
- Technical Support
- Developer Documentation
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