What the solution does
INJAZ Egyptian ID Reader extracts information such as the holder’s name, address and national ID number from Egyptian ID card images. The reader uses artificial intelligence technologies and provides a demonstration of field extraction and name translation. Its purpose is to move the task from retyping an entire document toward reviewing recognized information within the right business process.
This approach is relevant when staff repeat the same identity-data entry step throughout the day. A useful evaluation starts with a clear image and checks the recognized fields against the source before accepting them. Reading text is not, by itself, proof that a card is authentic or that the presenter is its legitimate holder. Those checks belong to the organization’s wider verification process.
Also known as Egyptian ID Reader, this INJAZ ID Reader helps you evaluate data capture from Egyptian national ID cards.
Capabilities and practical value
Reviewable fields
Separating visible information into fields makes it easier to review individual values rather than repeatedly inspect a complete image.
Arabic text recognition
The solution is presented for Egyptian cards containing Arabic information. The original demonstration shows the result format and an example of name translation.
Less repeated entry
Evaluate how much manual work remains after recognition, especially where names, addresses and numbers are entered repeatedly in one workflow.
Evaluate before deciding
Request the trial link using your business email and assess the reader against a business case that reflects your organization’s needs.
A practical workflow
Prepare the image
Use a clear, complete card image. Avoid glare, cropping and blur that obscure characters or important parts of the document.
Recognize and review
Run recognition, then compare important fields against the image, paying particular attention to numbers and similar names.
Plan the next step
Assess how results should enter your workflow. Any integration or additional development depends on your actual systems and requirements.
Example business uses
These are illustrative scenarios, not claims of customer deployments.
New application intake
Example: a member of staff creates a preliminary record and reviews the information before saving it.
Existing record updates
Example: compare newly presented identity information against a current record rather than retype every field without checking.
Service process evaluation
Example: assess data-entry steps in an internal trial using permitted samples and appropriate consent.
Choosing the right scope
Image quality, card type and required fields affect the evaluation. Discuss privacy, verification and integration requirements before production use.
Official product information ↗