ব্যাংকিং ও KYC
Bank form OCR for Bangladesh's banks & NBFIs
Account opening forms, KYC updates and loan applications arrive on paper by the thousand. BanglaOCR extracts every field — including handwritten Bangla names, amounts and dates — into core-banking-ready data.
The KYC paperwork problem
Every branch, every day: stacks of filled forms waiting for manual data entry.
Data entry is the bottleneck
The handwriting barrier
The compliance wall
What KYC document OCR delivers
Field-level extraction
Automatic validation
Maker-checker ready
Core-banking integration
See it on your own forms
We'll process a sample batch of your real account opening or KYC forms and hand you the accuracy report — before any commitment.
Frequently Asked Questions
Can BanglaOCR integrate with our core banking system?
Yes — a REST API returns structured JSON per document, designed for integration with core banking, ERP, DMS and workflow systems. Enterprise deployments include integration support.
How do maker-checker workflows fit in?
Perfectly: the AI acts as the maker (with confidence scores on every field), and your staff act as checker on the flagged minority. The confidence trail documents exactly what was verified by whom.
Can customer NIDs and signatures stay inside the bank?
Yes — that is the point of on-premise deployment: the full system runs on your own servers, air-gapped if required. Documents, results and even model improvements never leave your infrastructure.
What forms does KYC form OCR handle?
Account opening forms (AOF), KYC update forms, fixed deposit forms, loan applications, locker agreements, remittance forms — any filled form with printed labels and handwritten or typed entries.
How accurate is it on real bank forms?
~99% on printed content and ~88% character accuracy on Bangla handwriting, with ~84% of form fields extracted auto-confidently. Everything uncertain is flagged for quick review.