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Banking Documents Transformed, Effortlessly.

Built to address the unique challenges of processing multilingual and region-specific content, OCRXS is the most advanced Arabic OCR solution in the market, enabling banks and enterprises to automate data capture, reduce manual intervention, and enhance compliance.

Simple Steps to Transform

Built for Enterprise Banking Workflows

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Step 1: Scan or Upload Document

OCRxs digitizes passports, IDs, receipts, statements, or forms.

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Step 2: Extract using API

The system recognizes and captures fields like name, ID number, address, loan IDs, payment details, dates, amounts—even handwritten inputs.

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Step 3: Intelligent Mapping

Extracted data is automatically mapped into structured fields aligned with your database and compliance schema.

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Step 4: Output & Action

Auto‑fills banking forms Syncs with back‑office systems via API Generates tamper‑proof PDFs with QR validation Updates customer accounts in real time

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Specialized for Arabic

OCRxs is the most precise Arabic OCR technology on the market. It understands Arabic scripts, dialects, and formatting far better than generic OCR tools—making it perfect for banks in the MENA region.

Outperforms generic OCR tools by up to 98% in processing Arabic-language documents.

Optical Character Recognition (OCR)

Real-World Applications for Banks

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Scalability

60%

Automation

Clients

Worked with largest brands

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45
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Active Clients
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Tangible Cost Savings & Strategic Value

Maximize Value, Minimize Costs

Reduces labor costs by automating manual data entry, which can account for 30–50% of operational expenses in document-heavy processes.

Ensures regulatory compliance (e.g., AML/KYC, FATCA) through real-time validation, audit trails, and data accuracy.

Accelerates customer onboarding, loan approvals, and regulatory reporting by 70–90%, improving customer retention and market competitiveness.

Adaptive Architecture

Flexible Deployment Options

High-Volume Processing

Our Process

Best Solutions Provider

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Research

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Concept

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Implement

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Handover

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