Valid random IBAN generator

Generate realistic IBANs with control digits calculated according to ISO 13616. Pick any supported country and receive a number that is ready for QA environments, demos, or fixtures without exposing sensitive banking data.

Configure your IBAN

More than thirty countries with official formats and dynamically calculated checksum digits.

Result

Select a country to generate an IBAN.

Length

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BBAN structure

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Bulk Generator

Generate up to 1000 IBANs instantly and export them to CSV, JSON, or XML.

Export Format:

Recent history

  • No IBANs generated yet.

How is an IBAN validated?

  • A BBAN is generated that follows the official structure of the selected country.
  • The checksum algorithm (modulo 97) rearranges the IBAN and converts letters into numbers to calculate the two verification digits.
  • The final result is displayed in groups of four characters to improve readability and reduce copy mistakes.

Important: the generated IBANs are structurally valid and include correct check digits, but they do not belong to real bank accounts. Use them only in testing environments or demos where realistic-yet-fake financial data is required.

History & purpose

Discover the story behind the IBAN

Every IBAN reflects decades of cross-border collaboration. The International Bank Account Number emerged in the 1990s to solve a persistent challenge: moving money between European banks with inconsistent account data. The European Committee for Banking Standards and ISO joined forces to design a structure that would be instantly recognisable worldwide. Today, more than seventy territories rely on the IBAN to route payments without friction.

Why the IBAN matters

A well-formed IBAN allows banks to validate an account number automatically before they move any funds. The checksum digits catch typing mistakes and dramatically reduce the risk of rejected or delayed transfers. Each segment in the code identifies the country, the financial institution, and the internal account reference, creating a consistent language for reconciliation and customer experiences.

Organisations that operate across multiple markets rely on accurate test IBANs while they configure payment gateways, automation scenarios, or QA suites. This generator mirrors each country’s official format so you can validate integrations without exposing sensitive production data.

Evolution and curiosities

Since its official adoption in 1997, the IBAN has expanded far beyond Europe to markets across the Middle East, the Caribbean, and North Africa. Some jurisdictions lengthen the structure to include regional banking codes, while others keep compact versions that favour mobile-first banking journeys.

  • The longest IBANs reach 34 characters in markets such as Malta or Cyprus, where detailed bank and branch identifiers are embedded in the code.
  • Modern open-banking platforms validate IBANs in real time, displaying contextual messages when an account exists and is ready to receive funds.
  • Training teams rely on synthetic IBANs like the ones you can generate here to simulate reimbursements or refunds without risking real balances.

Make the most of this generator

Experiment with different countries and pin your favourite examples in the built-in history. Whenever you prepare a new environment, you can instantly recover the IBANs that already work with your payment flows.

Share curated lists with QA or engineering peers to maintain a shared library of fictitious financial data. Every IBAN produced here includes the correct structure and checksum, making them perfect for automated tests, sales demos, or educational workshops.

Best practices for your projects

Document your testing scenarios in internal wikis or repositories and reference the IBANs alongside the expected outcomes. Clean up old datasets when you migrate environments and limit access to sensitive records so that only synthetic accounts are used in each sprint.

Complement the IBAN with other synthetic attributes, such as account holder names or BIC codes, to recreate full user journeys. This approach reveals cross-validation bugs, approval workflows, and event-driven automations within minutes.