Say goodbye to manual data entry for identity documents. The new Document Parser add-on in Keka uses OCR (Optical Character Recognition) to automatically extract key details from employee documents-reducing manual work, improving accuracy, and streamlining HR onboarding workflows.
What’s new?
The Document Parser is now available as an add-on feature, enabling automated data extraction from supported identity documents. It’s built specifically for companies that manage high volumes of employee documents and need faster, error-free processing.
Key features:
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Scope: Currently supports employee identity documents only
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Language Support: English supported; Arabic support
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Automation: Extracts structured data from documents like passports, visas, Aadhar cards, and more
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Coverage: Supports identity documents from India, US, and GCC countries (UAE, Saudi Arabia, Qatar, Oman, Kuwait, Bahrain)
Why it matters
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Reduce manual effort: No need for repetitive data entry during onboarding
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Minimize errors: Fewer mistakes compared to manual typing
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Boost efficiency: HR teams can focus on strategic work instead of scanning documents
Who can use it?
This feature is available as a paid add-on and can be enabled via the Keka admin portal. It is ideal for organizations with high hiring volumes or multi-country operations.
Related documentation
For more detailed information, please refer to the resources linked below:
For Document Parser for Identity Docs- Error Handling & Move Feature click on:
For Document Parser for Identity Docs- Bulk Uploads click on
For Document Parser for Identity Docs- Individual Uploads click on
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