Supplier invoices, receipts, contracts, national IDs, commercial registers, customs forms. Most finance and operations teams in Egypt still spend hours every day typing data from paper and PDFs into their ERP, and every typed field is a chance for an error that someone has to find later.
AI OCR (optical character recognition) changes that. This guide explains how it works on Arabic and English documents, which documents it handles well, and how to work out whether it is worth it for your team.
Why Arabic documents are harder to read
Basic OCR tools were built for English. Arabic adds challenges that trip them up:
- Text runs right to left, often on the same page as left-to-right English and numbers.
- Letters join and change shape depending on their position in a word.
- Documents mix Arabic-Indic digits (٠١٢٣) with Western digits (0123).
- Stamps, signatures and handwritten notes overlap printed text.
- Many documents are photocopies of photocopies.
AI OCR uses models trained on real documents, so it can read printed Arabic and English together and understand which value is the invoice number, which is the date and which is the total.
How it works: scan, read, deliver
- Scan. High-speed document scanners take whole batches at once, sorted by document type.
- Read. AI OCR reads printed Arabic and English and finds the key fields, such as supplier, invoice number, date and total.
- Deliver. Clean data goes straight into your ERP, your spreadsheets or your archive.
The AI also scores how confident it is about every field. A person checks only the fields the AI is unsure about, instead of re-checking every document. That is where most of the time saving comes from.
Documents it handles
- Finance and accounting: invoices, receipts and expense claims, and matching payments to invoices.
- Operations and logistics: bills of lading, packing lists and customs forms.
- HR and administration: employee files, IDs and contracts.
- Compliance and KYC: national IDs, commercial registers and tax cards when onboarding customers, and key clauses in contracts.
- Pharmaceuticals: batch records and certificates of analysis.
- Oil and gas: well reports and permits.
- Industrial design: searching technical drawings and spec sheets.
Where it fits with e-invoicing
Invoices issued through the Egyptian Tax Authority’s e-invoicing system already arrive as structured data. But receipts, invoices from overseas suppliers, customs paperwork, contracts and years of paper archives do not. AI OCR covers everything that still arrives on paper or as a scanned PDF.
Connecting to your ERP
Extracted data is only useful once it is in the system your team works in. Our OCR Scanners send data straight into Odoo, SAP or your own ERP, so invoices are ready to approve instead of waiting to be typed.
Is it worth it? A simple way to estimate
Multiply the documents your team handles each day by the minutes each one takes to type and check. For example, a team handling 400 invoices a day at 3 minutes each spends 20 hours a day on data entry. If AI OCR reads most fields and people only review the uncertain ones, most of that time goes back to work that needs a person.
Count the cost of errors too: a wrong total or a duplicated invoice can cost more than the time spent typing it.
Choosing the scanners
The scanner matters as much as the software. Look at pages per minute, double-sided scanning, the size of the document feeder and the daily volume it is rated for. A scanner sized for an office printer will become the bottleneck within a week.
Keeping documents private
IDs, contracts and financial documents are some of the most sensitive data a business holds. The OCR can run on servers in your own premises or an in-country data centre, so documents never leave your control.
See it on your own documents
The best test is a batch of your own paperwork. Send us a sample and we will show you what AI OCR extracts from it. See OCR Scanners on our AI Solutions page, or contact our team.
