Credit-card numbers:

Drop .txt / .csv to load numbers
Drag & drop a list file or use “Import list”.
{{ summary.valid }} valid, {{ summary.invalid }} invalid / {{ results.length }} total
# Number Valid Type MII IIN
{{ i + 1 }} {{ r.number }} {{ r.is_valid ? 'Yes' : 'No' }} {{ r.card_type }} {{ r.mii }} {{ r.iin }}
Categories: Finance , Validator
Export to PDF Fullscreen

Credit card numbers are structured strings that encode issuer identification and include a checksum. A validator examines these digits digitally. Understanding terms like IIN, MII, and Luhn algorithm clarifies the validation process. Clear definitions empower you to interpret each result correctly and discuss data integrity confidently with stakeholders for audits.

This tool validates bulk lists pasted or imported as files. You paste numbers, launch validation, and receive instant feedback. The interface highlights validity, card scheme, and issuer data. Automatic counting summarises valid versus invalid totals. Scrollable tables keep long datasets organised. Fast analysis accelerates compliance checks and database cleansing workflows.

You gain practical value by confirming payment records before transmission to gateways. Financial teams reduce chargeback risks caused by mistyped details. Developers test checkout forms against authentic patterns without exposing live cards. Processing stays within the browser, protecting sensitive information. Lightweight design operates offline, supporting field audits and remote work.

Technical Details:

Key capabilities enable rapid, secure validation.

  • Bulk paste or drag-and-drop lists in .txt or .csv formats.
  • Automatic sanitisation removes spaces, dashes, and other non-digits.
  • Luhn algorithm checksums classify numbers as valid or invalid instantly.
  • Scheme detection recognises Visa, MasterCard, American Express, Discover, and JCB patterns.
  • Table displays MII, IIN, card type, and validity state for each entry.
  • Real-time banner summarises valid versus invalid counts.
  • All processing occurs offline, safeguarding sensitive data.

Step-by-Step Guide:

Follow these steps to validate numbers efficiently.

  1. Paste numbers into the textarea or drop a list file Tip.
  2. Click Validate to start the analysis.
  3. Read the banner to view total valid and invalid counts.
  4. Scroll the results table to inspect each number's status and details.
  5. Toggle full-screen browser view for easier large dataset review.
  6. Clear the textarea and repeat with another list when needed.

FAQ:

Find quick answers about validation and privacy.

Does the validator contact external services?

No. Every calculation runs locally, ensuring data privacy.

What is the maximum list size?

Browsers handle thousands of lines comfortably, limited only by available memory.

Is storing results possible?

You can copy the table content or use browser print features to save a PDF.

Are the numbers stored anywhere?

No. They are held in memory until you navigate away or refresh.

Why do some valid numbers show “Unknown” type?

The scheme detector uses pattern ranges; rare issuers may fall outside recognised sets.

Files are processed locally in your browser; nothing is uploaded.

Embed this tool into your website using the following code: