Compare customer names and DOB across Aadhaar, PAN, and Bank records using Jaro-Winkler and Token Sort fuzzy matching. Detect inverted names and Day/Month swaps.
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How to Use KYC Name & Date of Birth (DOB) Fuzzy Match Analyzer
Enter Document 1 (e.g. Aadhaar) and Document 2 (e.g. PAN or Bank) name and DOB.
Review algorithm breakdown: Token Sort Ratio (handles inverted names), Jaro-Winkler, and DOB Swap Detection.
Inspect the Composite KYC Decision: Auto-Approved (>=85%), Manual Review (65-84%), or Rejected (<65%).
Copy the audit trail record for compliance documentation.
Automating Straight-Through Processing (STP) in KYC
Financial institutions combine fuzzy string matching with Year-of-Birth tolerance to minimize false rejections caused by clerical errors and regional naming conventions.
Frequently Asked Questions
How does Token Sort Ratio handle Indian inverted names?
Token Sort splits names into individual words, sorts them alphabetically, and compares strings, ensuring that "Rahul Sharma" and "Sharma Rahul" yield a 100% match score.