Face Match

Match the signer’s face with their ID
Verify if the correct signer eSigns the document
Block eSigning in case of discrepancy

About the Feature

Establishing a signer’s identity is a key part of many digital paperwork flows. 

In physical flows, bankers usually ask for an ID proof and then cross-verify the signer details before matching the photo in the ID proof with the signer’s face.

But doing this digitally has been a challenge—until now.

That’s where Face Match comes in.

Face Match uses AI/ML to match the signer’s face with their photo in one of their approved ID documents and gives a percentage match between the two - If the face match percentage is within the set permissible range, the eSign is accepted. Otherwise it’s rejected.

Face Match
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Face Match flow diagram
Used By

Used extensively by banks & MFIs to verify the identity of their signers.

Leegality features guide cover stats
Benefits
  • Safeguard against signer fraud by ensuring the correct signer is executing the document
  • Saves time and resources by blocking eSign in case the face doesn’t match
  • Zero manual intervention - so no manual mistakes
Use Cases
  • Compliance teams in BFSI
  • Field agents for Banks and MFIs

How Face Match works

FAQs