The challenge
What needed to be easier.
Typing driver license details by hand slowed users down and created avoidable errors in a document-heavy insurance workflow.
← Selected work
Applied AI
Document OCR
We built an in-house OCR workflow that extracts driver license data, reduces manual entry, and gives operations teams a review step.
- AWS
- React
- Node.js
- Python
Updated 2026-09-06
From document to data.Product interface / workflow overview
Our approach
How we built it.
We built an OCR service and review flow that turns uploaded licenses into structured data the rest of the product can use.
Inside the experience
An image becomes data people can review.
A visual guide to the published product scope.
- 01
Upload
A driver license enters the document flow.
- 02
Extract
OCR turns the image into structured fields.
- 03
Review
Operations can validate the extracted details.
- 04
Use
Reviewed data continues into the product workflow.
Conceptual illustration · Based on public capabilities, not a private architecture diagram.
Our published contribution
Rubix built the in-house OCR service and review flow for driver-license data, including image intake, field extraction, structured output and workflow integration.
The connected workflow
- A user uploads a document image.
- OCR and field extraction turn the image into structured driver-license information.
- Validation and review states let a person check the extracted information.
- The surrounding product can use the reviewed structured data.
What the delivered workflow enables
Operations teams can review extracted fields instead of starting every record with manual transcription.
Engineering considerations
Image quality, missing fields and ambiguous characters are important failure cases for an extraction workflow. Automation should preserve a correction path. Evaluation for a new deployment should separate field correctness from whole-document acceptance and include difficult inputs, rather than report one undifferentiated accuracy number.
Product capabilities
What we brought together.
We only include capabilities that are already public. We do not share client data, private architecture, commercial terms, or internal performance metrics.
Document image intake
OCR and field extraction
Structured data output
Validation and review states
Workflow integration
Cloud processing pipeline
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