I’m importing a spreadsheet of customer IBANs and need to identify which entries are structurally invalid before storing them.

This feature validates imported IBAN values and flags entries that are structurally invalid before they are saved. It helps you prevent bad banking identifiers from entering your system and reduces downstream payment and reconciliation issues.

When importing a spreadsheet of customer IBANs, this feature checks each value for structural validity before it is stored. It identifies IBANs that do not conform to the expected format and marks those rows as invalid so they can be reviewed. This allows you to catch issues early in the import workflow instead of discovering them later during payment processing or account verification. You can use the results to correct typos, remove malformed entries, or request updated details from customers. The feature is especially useful when onboarding new customers in bulk, migrating data from another system, or consolidating lists from multiple sources. By validating at import time, it reduces manual cleanup and improves the overall quality of customer banking data. It also helps standardize data intake processes by ensuring only structurally valid IBANs proceed to storage. The outcome is a clearer, more reliable dataset for finance operations and customer support teams. This feature focuses on identifying structurally invalid entries so you can decide how to handle them before persisting the data.