Manually entering identity-card information can slow onboarding, introduce transcription errors, and create operational challenges for banks, fintech platforms, telecom providers, insurance companies, and other organizations that process customer identity documents.
The system accepts National ID card images through both multipart file uploads and base64-encoded requests, making it flexible for integration with mobile apps, web platforms, internal portals, and third-party onboarding systems.
After receiving an image, the platform processes the document and extracts 10 predefined structured fields. Regex-based parsing organizes recognized text into consistent output values, while neural machine translation supports bilingual Bangla and English identity workflows.
Each request returns a structured, timestamped JSON response containing the extracted fields, processing status, and audit information. This response format simplifies integration with KYC platforms, customer databases, compliance systems, and downstream verification services.
The API-driven architecture helps organizations reduce manual data entry, accelerate onboarding, standardize identity information, and create traceable document-processing workflows.
The solution is suitable for financial onboarding, SIM registration, insurance applications, digital lending, account creation, employee verification, and other processes that require structured data extraction from Bangladesh National ID cards.
Production deployment should include encrypted transmission, strict access controls, data minimization, secure storage policies, limited retention, redaction of unnecessary identity details, and compliance with applicable privacy and identity-document regulations.
Need a secure OCR, identity-document extraction, or bilingual KYC integration? Let’s build a reliable API around your onboarding and verification requirements.