Arabic OCR for Scanned Documents at Enterprise Scale
Datatera.ai reads scanned Arabic PDFs, photos and mixed Arabic-English documents and returns validated fields your team can use. Arabic OCR runs inside a governed pipeline that delivers data to Excel, your database or your ERP, with every value linked back to its source.
Scanned Arabic PDF to Excel, field by field
A supplier invoice from the Gulf often mixes Arabic labels, English product names and a right-to-left layout. Datatera detects the language and script of each document, routes it to the model that reads it best, and maps every label to the field your system expects.
| On the page | Field | Value |
|---|---|---|
| رقم الفاتورة / Invoice No. | invoice_number | INV-2026-0418 |
| تاريخ الفاتورة | invoice_date | 2026-09-14 |
| اسم المورد | supplier_name | شركة المثال للتجارة |
| الرقم الضريبي / VAT No. | vat_number | 300000000000003 |
| الإجمالي شامل الضريبة | total_incl_vat | 12,450.00 |
| العملة | currency | SAR |
Illustrative example. Field names follow your own schema.
Mixed Arabic-English documents in one pipeline
Built for the documents finance, compliance and operations teams in the region actually receive.
Script-aware routing
Each document is pre-scanned for language, script and layout, then sent to the extraction model best suited to it.
Right-to-left and mixed layouts
Arabic and English on the same page and tables that read right to left end up in one consistent record.
No template per issuer
Layouts differ between banks, suppliers and authorities. Extraction works from meaning, so a new layout needs no new template.
Source-linked values
Every value points back to its place in the original scan, so a reviewer can verify any field against the document.
Delivery to your systems
Export to Excel, or push records to your database, ERP or CRM through the API.
Cloud or on-premise
Run in our cloud, or inside your own network when documents cannot leave it.
Ready to bring governed AI data to every team?
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