How does it work end-to-end?

Push ₹1 → receive bank returns beneficiary name → system compares against customer name with normalization rules → decision + audit log.

How accurate is name matching?

High with good normalization (case, initials, order). Handle joint accounts, maiden names, and transliteration edge cases.

When should I prefer penny drop vs IAV?

Use penny drop for light-touch ownership checks; IAV for richer data/affordability analytics.

Any compliance considerations?

Store consent, mask sensitive data, log UTRs, and define retry/exception flows for failures.

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Penny Drop Verification (India)

Overview

Penny drop verification confirms Indian bank account ownership by sending a nominal credit (often ₹1) and reading back the beneficiary name from the receiving bank. The name is then matched (exact/normalized/fuzzy) to the customer’s declared name, establishing ownership and account activity without full statement access.

It’s widely used by fintechs, brokers, lenders, and payroll/remittance platforms as a quick, low-cost verification during onboarding or payouts. Compared to microdeposits, penny drop leverages local rails (IMPS/NEFT/UPI) for faster resolution; compared to IAV APIs, it requires fewer permissions but provides less data. Institutions log UTRs and responses for audit trails and re-run checks upon changes to bank details.

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