Intelligent Document Processing · OCR Agent

Source Docs — document AI for Arabic and English

Turn any document into structured data — invoices, IDs, contracts, forms — and export it as Excel, JSON, or straight into your systems. Arabic & English.

The product

What Source Docs does, and who it is for.

The problem

Teams drown in PDFs, scanned forms and legacy paper. Manual data entry is slow, error-prone and doesn't scale — and the data stays trapped in documents instead of in systems.

The solution

An AI OCR agent that scans and extracts fields from any document through one dashboard, validates them, and delivers clean output as Excel, JSON, CSV or a direct push to your ERP/database — in any format you need.

How it works

1

Upload or connect a document source (folder, email, scanner, API).

2

The agent detects layout & fields — template-based or template-free.

3

Extracts, validates, and flags low-confidence fields for quick human review.

4

Exports to Excel / JSON / CSV / API — or pushes straight into your system.

Key capabilities

Template & template-free extractionArabic & English + handwritingConfidence scoring & human-in-the-loopBulk / high-volume processingAny output format

A worked example

Input. A morning's supplier invoices land in a shared mailbox as scanned PDFs and phone photographs. Some are in Arabic, some in English, a few are stamped and handwritten in the margin, and no two suppliers use the same layout.

What the agent does. It watches the mailbox, reads each page without a template, and pulls the fields finance actually needs: supplier name, CR number, invoice number, date, line items, VAT and total. It checks that the line items add up to the total, matches the supplier against your master data, and scores its confidence field by field. Anything below your threshold is held back for review, with the exact crop of the page shown beside the value it read.

Output. One validated record per invoice pushed into the ERP, the same batch as an Excel file for finance, and a short exception list naming only the fields a person needs to look at.

An illustration of the flow, not a client engagement.

Where it fits

Documents are usually the first step in something longer: invoices feed EPOS and its three-way match, while claims, applications and onboarding packs feed Source Flow. We have written about why Arabic is the hard part in Arabic OCR: unlocking the back office in the GCC. Browse the rest of the AI catalogue, or see the work we have delivered in Qatar. If you want a scoped plan before committing, take the free AI audit.

Best for

Finance / APOperationsRecords & ComplianceGov digitisation units

Industry fit

GovernmentBankingHealthcareLegalLogisticsInsurance

Integrations & sources

Excel / CSV / JSONREST APISAP · Oracle · OdooSharePointSQL / NoSQL

Tech stack

Vision-Language ModelsCustom OCR pipelinePython · FastAPI

Deployment & security

CloudOn-premisePrivate cloudRole-based accessYour data stays yours

What it delivers

Less
manual data-entry time
Higher
field accuracy with review
Bulk
docs processed daily

Proof / status

Stage: available for scoped pilots and trial deployments.

What we can show today: a live walkthrough on your own sample documents during the demo. No client case study is published for this agent yet.

How you check it: a scoped pilot on a batch of your own documents, with accuracy measured on your files rather than quoted from ours.

See Source Docs on your own documents.

Send a handful of real invoices, IDs or contracts, Arabic or English, and see what comes back as structured data.

No obligation · a real answer within one business day · your data stays yours