Credit Card Validator
Validate credit card numbers using the Luhn algorithm. Detect card type (Visa, MasterCard, American Express, etc.) and check format integrity.
Test Card Numbers
Note: These are test numbers for validation purposes only. Never use real credit card numbers for testing.
About the Luhn Algorithm
The Luhn algorithm (also known as the "modulus 10" algorithm) is a checksum formula used to validate credit card numbers and detect simple errors in typing.
How it works:
- Starting from the rightmost digit, double every second digit
- If doubling results in a number > 9, subtract 9
- Sum all the digits
- If the total is divisible by 10, the number is valid
About Credit Card Validator
A secure credit card validation tool that uses the industry-standard Luhn algorithm to verify credit card number format and integrity. This tool identifies card types (Visa, MasterCard, American Express, Discover, etc.) and validates the mathematical checksum without storing or transmitting sensitive data.
Why use a Credit Card Validator?
Credit card validation is essential for e-commerce applications and payment processing systems to prevent errors before submitting transactions. This tool helps developers test payment forms, validate user input, and ensure card numbers are properly formatted, reducing failed transactions and improving user experience while maintaining security.
Who is it for?
Perfect for e-commerce developers building payment systems, QA testers validating checkout processes, fintech professionals working with payment integrations, and anyone learning about payment card industry standards. Essential for developers who need to implement client-side card validation in their applications.
How to use the tool
- Enter a credit card number in the input field (test numbers only)
- The tool automatically detects the card brand and type
- Review the Luhn algorithm validation results and any format errors
- Use the feedback to implement proper validation in your applications
- Test different card types and scenarios for comprehensive validation coverage
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