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Paystack · Google Sheets Guide

Validate Bank Account Numbers in Bulk via Paystack From a Google Sheet

2026-05-15
5 min read

The Scenario

Payroll runs tomorrow and your finance manager just flagged something: 30 of the 150 bank account numbers in the payroll sheet are new — added by employees in the past two weeks through the HR self-service form. No one has verified them against actual bank records yet.

If even one is wrong, the transfer fails. And a failed transfer to an employee on payday is not a conversation you want to have.

The bad version:

  • You open Paystack, navigate to Tools, and find the account validation endpoint in the API docs. You're not a developer, so you spend 20 minutes figuring out how to make a test API call.
  • You eventually find a third-party account validation tool, paste in account numbers one at a time, and write the returned account name into your sheet manually.
  • On row 14 the returned name is "ADEYEMI OLUWASEUN JAMES" and the sheet says "Adeyemi James" — close enough? You're not sure. You flag it and move on.

30 rows of manual validation, each requiring a separate lookup, is an hour of work you didn't plan for the day before payroll closes.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Google Sheet. It reads your account numbers and bank codes, runs each validation through Paystack's API, and writes the returned account name and validation result back to the row — so you have a clean, auditable record before the payout batch runs.

For each row in this sheet, validate the bank account using account number in column A and bank code in column B, then write the validation result and account name into columns C and D.

What You Get

  • Column C: validation result (valid, invalid, or not found)
  • Column D: confirmed account name returned by Paystack for that account/bank combination
  • Rows where validation fails get the reason written to column C
  • All 150 rows validated in one run — no separate tool, no manual lookup

What If the Data Is Not Quite Ready

Account numbers have inconsistent formatting (spaces, dashes)

Clean account numbers in column A by removing spaces and dashes, then validate each row against Paystack using the cleaned number and bank code from column B — write the validation result to column C and confirmed account name to column D.

You want to flag mismatches between the sheet name and the bank-returned name

Validate each account using account number from A and bank code from B, write the returned account name to column D and validation status to column C, then compare column D against the employee name in column E and mark 'NAME MISMATCH' in column F where they differ significantly.

Bank codes are stored as bank names in the sheet

Look up the Paystack bank code for each bank name in column B and write to column E, then validate each account using account number from A and resolved code from E — write validation result to column C and confirmed account name to column D.

Normalize, resolve bank codes, validate, and flag mismatches in one shot

Clean account numbers in column A, resolve bank names in column B to Paystack bank codes in column E, validate each account using the cleaned number and resolved code, write validation status to column C and confirmed name to column D, then compare column D against the employee name in column F and mark 'MISMATCH' in column G where they differ.

Running the full chain before the payout batch means you catch the wrong account on row 14 — not after the transfer fails at 2 AM.

Try It

Open the payroll or vendor sheet where your bank account data lives, then Get the 7-day free trial of SheetXAI and ask it to run bulk validation against Paystack. For related workflows, see how to bulk-create transfer recipients once accounts are validated, or how to initiate a bulk charge run.

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