


Facial Recognition
Verilocale OCR (Optical Character Recognition) combines deep-learning models and computer vision to deliver enterprise-grade accuracy in data extraction, document parsing, and multilingual text recognition. Purpose-built for Southeast Asia’s eKYC ecosystems, it supports regional languages including Thai, Malay, Filipino, Burmese, Khmer, Vietnamese, and Chinese, enabling precise identity and document verification across diverse linguistic environments.
Designed for scalability, Verilocale OCR integrates seamlessly into digital onboarding, compliance, and verification workflows. Whether deployed in the cloud or on edge environments, it ensures low-latency, secure processing and exceptional adaptability.
At Verilocale, our mission is to empower organizations with localized, AI-driven identity intelligence that bridges linguistic diversity and regulatory complexity across Southeast Asia.

Face Detection
Detects and locates faces in real time with millisecond-level latency, enabling downstream processes like tracking, cropping, and analysis. Optimized for edge deployment and mobile SDKs.

Face Search
Searches through massive databases using vectorized embeddings for real-time identification. Scalable for public security, retail, and customer onboarding applications.

Face Comparison
Performs 1:1 or 1:N face matching with high accuracy, supporting verification even with accessories or partial occlusion (e.g., Muslim hijabs, masks, or glasses). Ideal for border control, telecom, and banking KYC scenarios.

Face Database Management
Enables secure, scalable management of biometric profiles with encryption, indexing, and API-based integration to enterprise identity systems.

Face Quality Assessment
Evaluates image sharpness, brightness, angle, and occlusion to ensure compliance with biometric standards before registration or comparison.

Face-ID Document Matching (ID/Passport)
Verifies if the captured face matches the face on ID or passport photos, integrating OCR and facial comparison for complete eKYC verification flow.