IBAN extractor

Extracts IBANs from text for auditors, developers, and finance teams who need fast, accurate identification of international bank account numbers.

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About This Tool

The IBAN extractor operates as a domain-specific text processor that scans input content for International Bank Account Numbers and returns a structured set of matches. It detects country-specific IBAN formats aligned with ISO 13616, normalizes results to uppercase, and records positional data for downstream workflows. Conceptually, the tool relies on regex patterns for common IBAN structures and applies a checksum check when country metadata is available, providing a confidence signal for each match. It is designed for auditors validating payment readiness, developers integrating text ingestion pipelines, and finance teams performing data cleansing on contracts, invoices, or emails. Unique value lies in combining deterministic pattern detection with optional country-aware validation, enabling efficient reconciliation, risk screening, and onboarding checks without manual scanning. Core features include non-destructive scanning, non-duplicative results, and export-ready output formats such as JSON or CSV. Use cases span vendor onboarding, accounts payable reviews, and due diligence where IBAN identification is required across large text corpora. The tool emphasizes accuracy, speed, and deterministic results, while remaining agnostic to underlying document type. It supports optional country hints to narrow detection space and reduce false positives, and it provides per-match metadata such as country, length, and position for traceability.

How to Use

  1. Provide inputs: Paste or attach the text to be scanned.
  2. Configure options: Optionally set a country_hint to narrow detection and a limit for results.
  3. Run extraction: Execute the analysis to identify IBAN patterns in the text.
  4. Review outputs: Inspect the list of found IBANs with positions and validity indicators.
  5. Export: Save results as JSON or CSV for downstream processing.
How to use iban extractor

Frequently Asked Questions

Find Quick Answers

How accurate is the IBAN extraction?
Accuracy depends on text quality and country metadata. When country information is available, the tool applies strict patterns and Luhn checks, reducing false positives. In noisy data or OCR artifacts, confidence may be lower and additional validation may be required.
Which IBAN formats are supported?
The tool supports common IBAN structures per ISO 13616 and can adapt to country hints. It prioritizes well-established formats and uses general patterns as a fallback, which covers most European and IBAN-enabled countries.
Can I customize or update country metadata?
Yes. If configured with external metadata, the extractor can leverage country-specific length and checksum rules. Absent metadata, it uses structural validation and length heuristics to approximate validity.
How are results exported?
Results can be exported in JSON or CSV formats, including each IBAN, its country (if detected), position indices, length, and a validity flag for downstream processing.

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