Egypt has introduced new versions of its diplomatic, special, and official service passports. Until now, Egyptian ordinary passports remained machine-readable. Under Ministry of Interior Decree No. 1385 of 2026, the new biometric passport designs took effect on 19 August 2026, introducing updated specifications and security features. This update is important for ID scanning systems processing Egyptian documents and may represent a further step toward the adoption of ePassport technologies and the digitalisation of document checks.
How Egyptian Passports Have Evolved Over Time
Egyptian passports have been in use since at least the 1920s. The modern passport administration was established in 1939. The ordinary Egyptian passport version recorded in the Council of the European Union’s PRADO database was first issued on 27 January 2008. It is a 52-page booklet measuring 88 × 125 mm, with a laminated biodata page, an optically variable device, UV features, watermarks, and other security elements. Its listed validity period is seven years.
The biodata page brings together several types of personal and document data: passport number, name, nationality, date and place of birth, sex, issue and expiry dates, issuing information, and other document-specific fields. It also combines Arabic and Latin scripts. For an ID card scanner, the challenge is to identify the fields correctly, keep each value tied to the right label, and handle the different scripts and formats without mixing them up.
The MRZ provides a second, standardized representation of the passport data. It is particularly useful when checking the information captured from the biodata page, while the Arabic and Latin versions of names and other fields give the scanner additional data to process and reconcile.
The same challenge extends to Egyptian ID cards, residence permits, and visas, as well as driver’s license scanning. Their layouts and field structures vary, so reliable ID scanning needs to recognize the document type and adapt extraction to the fields and scripts actually present on the document.
Why Holograms, Arabic Script, and Shaky Hands Make Ideal Conditions a Myth
The difficult part of mobile passport scanning is not reading a perfect image. It is extracting reliable information when document features and capture conditions interfere with each other. Egyptian passports combine security printing, a compact data page, multiple scripts, and a flexible booklet format.
The main ID OCR challenges during onboarding are:
Glare and reflections. The laminated biodata page and optical security elements can create bright areas across printed information.
Blur and defocus. Movement during mobile capture can soften characters, numbers, and dates before ID OCR begins.
Perspective distortion. A passport page does not always lie completely flat, changing the geometry of text lines and fields.
Document wear. Creases, worn edges, fading, and surface marks add visual noise to a page that may already contain dense security printing.
Mixed scripts. Arabic and Latin information appear within the same document workflow, while the MRZ follows its own standardized format.
OCR Studio specifically positions its ID OCR for these real-world conditions, which mean successful captures, no need for manual correction, better user experience and more completed onboardings
How Client-Side ID OCR Keeps ID Data Inside the Onboarding Flow
Client-side ID OCR keeps the sensitive data at the point of presentation. This architecture is especially relevant for mobile onboarding, where the customer’s phone is already the capture device.
OCR Studio also supports browser deployment with Web-Native OCR, extending the same local approach to the web environment. To see how this approach works in practice, explore the OCR Studio Web Demo.
The real-world scenarios that matter are not limited to a single clean passport image:
Capture scenario
Standard OCR tools
OCR Studio’s approach
Multiple documents
Data from different documents can be confused
Detection and ID scanning of multiple documents in one frame
One-Shot KYC
Document capture and face matching become separate steps
Data extracted and face matched to the ID in a single selfie
Browser onboarding
Customer may need to install an app
Local ID OCR through browser-based deployment
NFC chip reading can provide another source of document data without changing the basic principle: a shorter path from camera capture to structured KYC data, without making an external cloud service a required part of ID scanning.
What OCR Studio Brings to Egyptian ID Scanning and Onboarding
OCR Studio’s solution is designed around the assumption that identity documents should be captured as people actually show them – not under controlled scanning conditions. For Egyptian onboarding, that means combining broad document coverage, Arabic ID OCR, resilient mobile capture, and client-side processing in real-world conditions.
Its capabilities include:
Fully on-device ID OCR;
Accurate ID scanning in real-world conditions;
4,000+ document templates and 100+ languages, including Arabic;
VIZ, MRZ, PDF417 barcode, and NFC chip extraction;
Server, mobile and browser-based deployment, with WebAssembly support for local browser recognition and native mobile integration for app-based onboarding.
The same ID scanner can be part of onboarding flows involving Egyptian ID cards, driving licences, passports, residence permits, and visas, where document layouts and capture conditions vary.
The broader goal is consistency. A customer should not have to understand OCR, document geometry, or camera limitations to complete KYC. The ID scanner has to absorb those complications itself, whether the user is holding a worn passport under poor lighting, capturing an ID card in a mobile app, or completing onboarding through a browser webcam.
What challenges does an ID scanner face when scanning Egyptian passports?
An ID scanner needs to handle several factors at once, including Arabic and Latin scripts, compact document layouts, MRZ data, laminated pages, holograms, reflections, and other security features. It must correctly identify each field and keep the extracted data associated with the right labels.
How does ID OCR handle Arabic and Latin scripts on Egyptian identity documents?
ID OCR recognizes and extracts information from documents containing multiple scripts and formats. For Egyptian passports and other IDs, it can process Arabic and Latin data while also using standardized information such as the MRZ to help verify the captured document data.
Can ID scanning work when an Egyptian document is blurry or affected by glare?
Yes. Real-world ID scanning needs to account for glare, reflections, motion blur, defocus, perspective distortion, and document wear. OCR Studio is designed to extract document information under these conditions rather than relying only on perfectly captured images.
Which Egyptian documents can an ID scanner process?
An ID scanner can be used across different Egyptian identity-document workflows, including passports, ID cards, driving licences, residence permits, and visas. Because these documents have different layouts and field structures, the scanning system needs to identify the document type and adapt extraction accordingly.
Can ID OCR be used for mobile and browser-based KYC onboarding?
Yes. ID OCR can run directly on the customer’s device, supporting mobile onboarding without requiring an external OCR service. OCR Studio also supports browser deployment through WebAssembly, allowing ID scanning to take place locally in a web browser. Additional data can be obtained through sources such as MRZ, barcodes, and NFC chips.
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About the author
Konstantin Bulatov is a scientist and Chief Technology Officer of OCR Studio, where he has led the development and implementation of advanced OCR technologies. He has designed a method for optimizing object recognition in video streams, which has improved the accuracy and efficiency of real-time OCR systems. Under his direction, OCR Studio develops secure on-device programming solutions that address diverse industry needs and contribute to advancements in the field.
Konstantin is an IEEE Senior Member, he has authored multiple patent applications and published his research in prominent academic conferences and journals. His work emphasizes innovative approaches to developing high-performance recognition systems, reinforcing OCR Studio’s position as a significant contributor to the global technology landscape.