Key Features
Face Verification
Match the live user's face against an identity document photo or reference image. This helps confirm that the person being onboarded is consistent with the submitted identity.
Passive and Active Liveness Detection
Detect whether the presented face belongs to a real live person. Passive liveness supports frictionless verification, while active liveness can use guided actions such as smile or eye blink where required.
OCR, MRZ, QR and NFC Extraction
Extract identity data from supported documents using OCR, MRZ, QR-based signals and NFC chip reading where applicable. Extracted and chip-based data can be used for verification, review and consistency checks.
Document Verification
Support verification workflows for ID cards, passports, driver's licenses and other supported document types. Document checks can help detect invalid, damaged or suspicious submissions.
Fraud and Tamper Detection
Analyze document images and verification signals for signs of manipulation, tampering, replay attempts or suspicious behavior. Fraud signals can contribute to risk scoring and operator review.
Hologram, NFC and Security Checks
Support additional document authenticity checks such as hologram analysis, NFC chip reading and visual security validation where supported by the document and project scope. NFC chip data can also be compared with extracted document data.
Consistency Checks
Check whether uploaded documents, OCR/MRZ/QR/NFC data, ID numbers, document photos and related data are consistent across the verification process. Mismatches can trigger warnings and affect the transaction risk score.
Risk Scoring
Generate a transaction risk score based on biometric, document, consistency, liveness and fraud signals. This helps teams prioritize suspicious cases and reduce manual workload.
Web Management Dashboard
Monitor transactions, review warnings, inspect risk signals and manage fraud review workflows through a centralized web interface.
Mobile SDK and API
Integrate identity verification into mobile apps, web flows, kiosks, onboarding platforms or backend systems through SDKs and APIs. Corvo Verify supports secure data transfer and SDK-level protections including TLS-based communication, encryption, certificate pinning, request signing, device integrity checks, secure local storage, access control and data isolation.
Operator Review
Support manual review workflows for suspicious or high-risk transactions. Operators can inspect verification results, warning indicators and transaction history.
Visual Consistency Signals
Provide compliance-sensitive visual consistency signals such as estimated age range or gender-related cues where legally and operationally appropriate.

In our car sharing application, which welcomes thousands of new customers every day, we reduced a remote customer onboarding process that could take up to two days to just a few minutes by integrating Nevalabs’ AI-powered Corvo Verify solution. With capabilities such as facial verification, driver’s license recognition, OCR from identity and license documents, and fraud / restricted-user screening, Corvo Verify helped us securely automate our digital onboarding workflow and improve customer satisfaction. We are pleased to have worked with Nevalabs for years as a technology partner thanks to their advanced AI technologies, expert team, responsive support services and compliance-oriented approach aligned with KVKK/GDPR requirements.
Get Started with Corvo Verify
Schedule a personalized demo to see it in action
