Applied AI

Document OCR

An in-house OCR workflow that extracts driver-license data, reduces manual entry, and gives operations teams a clear review step.

All work

AI workflow architecture, cloud processing, and product integration

AWS / React / Node.js / Python

Document intake / Field extraction / Human review

The challenge

The friction behind the brief.

Typing driver-license details by hand slowed users down and created avoidable errors in a document-heavy insurance workflow.

The system decision

The call that shaped the system.

The OCR service and review flow turn uploaded licenses into structured data the rest of the product can use safely.

The outcome

What became easier.

Uploaded licenses became structured, reviewable data inside the existing workflow, reducing re-entry while preserving a clear human validation step.

What I can show

Document OCR: public product proof.

Public product scope: Document intake / Field extraction / Human review.

Private architecture, customer data, commercial terms, and internal metrics remain excluded.

01

Document image intake

02

OCR and field extraction

03

Structured data output

04

Validation and review states

05

Workflow integration

06

Cloud processing pipeline

Continue exploring

Next case studyKrossing