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Challenges with Existing Solutions

  • Inability to detect blurred, glared, partial, and obscured ID images can lead to application rejection and delays user onboarding.
  • Inability to assess the quality of the photo of face on the ID may lead to inaccuracies, potentially allowing manipulated submissions.
  • Verifying IDs without confirming face presence disrupts the face match process and creates vulnerabilities for potential fraudulent entries.
  • Absence of ID liveness checks makes it challenging to ensure the authenticity of the presented identification.
API Challenges

What We Offer

  • Provide instant user feedback during document capture for issues like blur, glare, partial, or obscured ID, minimizing the chances of application rejection.
  • Ensure the face quality on the ID is optimal for accurate face matching with the selfie, reducing the risk of identity theft.
  • Enhance security with ID liveness checks, confirming the authenticity of presented identification.
API Challenges

Input and Output

Adhar Card OCR

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Frequently asked  questions

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What functionalities does HyperVerge's ID Card OCR Quality Checks offer?

How does this functionality contribute to reducing application rejection rates?

Is this module effective in preventing identity theft?