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Document AI & OCR

IDs, invoices, forms and contracts turned into structured data, with a review screen for anything uncertain.

Overview

What it does for you

Document AI reads the documents your team types in by hand and turns them into clean data: identity documents, invoices, receipts, forms, contracts. Every field gets a confidence score; low-confidence fields go to a review screen, so accuracy stays under your control.

Proof

Our founder built an identity-document extraction system for a UAE government free-zone authority: 40+ fields including MRZ, processing time cut from minutes to seconds.

Outcomes

  • Minutes of typing per document become seconds
  • Fewer data-entry errors, with validation rules on every field
  • A full audit trail: who approved what, and when
  • Data flows straight into your ERP, database or spreadsheets
Scope

What's included

  • OCR and vision models for printed, scanned and photographed documents
  • Field extraction with validation (checksums, MRZ, totals that must add up)
  • Human review interface for low-confidence fields
  • Export to your systems: ERP, database, Google Sheets, API
  • Arabic and English documents
  • On-premise deployment for sensitive data

Good for

  • Government and free zones
  • Finance and accounting
  • Logistics
  • Real estate
  • HR onboarding

Typical stack

  • YOLOv8
  • OCR engines
  • Vision language models
  • FastAPI
  • Next.js review UI

How it starts

A free 30-minute call, then a written fixed-price proposal for a pilot of two to four weeks. You own everything we build.

FAQ

Common questions about Document AI & OCR

How accurate is it?

We measure accuracy per field on a sample of your real documents before go-live, and anything below the confidence threshold goes to human review. You see the numbers, not a promise.

Does it handle handwriting?

Printed and typed text reliably; handwriting depends on the quality and is always routed to review when confidence is low.

Can it run on our servers?

Yes. For identity documents and other sensitive data we recommend on-premise or private-cloud deployment.

What about Arabic documents?

Supported. Mixed Arabic and English documents such as Gulf IDs and invoices are a common case.

Next step

Want Document AI & OCR in your business?

A free 30-minute call: tell us what eats your team's time, and leave with a clear next step, even if you never hire us.

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