Credit Card Number Generator
Generate fake Visa, Mastercard, Amex, and Discover card numbers that pass Luhn validation. Perfect for testing payment forms and checkout flows.
Credit Card Generator FAQ
What is a fake credit card number generator?
A fake credit card number generator creates card numbers that follow the correct structure (IIN prefix, length, Luhn checksum) without being linked to any real bank account. They are used by developers to test payment forms, e-commerce checkouts, and subscription flows.
Do generated card numbers pass Luhn validation?
Yes. All generated card numbers satisfy the Luhn algorithm (also called the mod-10 algorithm), which is the standard checksum used by payment processors to detect typos in card numbers. This means they will pass front-end validation but will be rejected by any real payment gateway as 'card not found.'
What card types are supported?
The generator produces numbers for Visa (starting with 4, 16 digits), Mastercard (starting with 51-55, 16 digits), American Express / Amex (starting with 34 or 37, 15 digits), and Discover (starting with 6011, 16 digits). Each type follows its issuer's real prefix and length rules.
Can I use these numbers for real purchases?
No. Generated card numbers are entirely fictional and will be declined by any payment processor. They have no associated bank account, billing address on file, or credit limit. Using a fake card number to attempt actual purchases constitutes fraud and is illegal.
What CVV and expiry does the generator produce?
The generator creates a random 3-digit CVV (4-digit for Amex) and a future expiry date in MM/YY format. Like the card number, these are fictional values that will fail real authorization but are realistic enough for UI testing and form validation.
Why not use Stripe's test cards instead?
Stripe's test card numbers (like 4242 4242 4242 4242) only work in Stripe's sandbox environment. If you're building a checkout flow that needs to test across multiple processors, or if you just need a realistic-looking card number to display in a UI mockup, a random generated number is more flexible.