Random Credit Card Generator
Generate dummy credit card numbers that pass the Luhn algorithm validation check. Perfect for testing payment forms, e-commerce checkout flows, and API integrations. Supports Visa, Mastercard, American Express, Discover, JCB, and Diners Club.
Your ad blocker is preventing us from showing ads
MiniWebtool is free because of ads. If this tool helped you, please support us by going Premium (ad‑free + faster tools), or allowlist MiniWebtool.com and reload.
- Allow ads for MiniWebtool.com, then reload
- Or upgrade to Premium (ad‑free)
About Random Credit Card Generator
The Random Credit Card Generator creates dummy credit card numbers that pass the Luhn algorithm validation check. These test card numbers are intended strictly for software testing and development purposes, such as validating payment forms, testing e-commerce checkout flows, and API integration testing.
What is the Luhn Algorithm?
The Luhn algorithm, also known as the "modulus 10" or "mod 10" algorithm, is a simple checksum formula used to validate various identification numbers, including credit card numbers, IMEI numbers, and some government ID numbers. It was designed by Hans Peter Luhn, an IBM scientist, in 1954.
The algorithm works by:
- Starting from the rightmost digit (excluding the check digit) and moving left, double the value of every second digit
- If doubling results in a number greater than 9, subtract 9 from the result
- Sum all the digits
- If the total modulo 10 equals 0, the number is valid
Example: Validating 4532015112830366
Credit Card Number Formats
Different card networks use specific prefixes called Issuer Identification Numbers (IIN) or Bank Identification Numbers (BIN):
- Visa: Starts with 4, typically 16 digits
- Mastercard: Starts with 51-55 or 2221-2720, 16 digits
- American Express: Starts with 34 or 37, 15 digits
- Discover: Starts with 6011, 622126-622925, 644-649, or 65, 16 digits
- JCB: Starts with 3528-3589, 16 digits
- Diners Club: Starts with 300-305, 36, 38, or 39, 14-16 digits
Valid Use Cases
- Payment Form Testing: Test that your checkout forms properly validate card numbers before submission
- API Integration: Test payment gateway integrations in sandbox/test mode
- UI/UX Development: Design and test how credit card numbers are displayed and masked
- Educational Purposes: Learn about credit card number structure and validation algorithms
- Data Masking Testing: Test systems that mask or encrypt sensitive payment data
- Automated Testing: Generate test data for automated test suites
Security Considerations
While these numbers pass the Luhn checksum, they are not connected to any real bank accounts. Payment processors like Stripe, PayPal, and Braintree all provide official test card numbers for sandbox testing - always prefer using those when available.
The Luhn algorithm was designed to catch accidental errors (like typos), not to prevent fraud. Real credit card validation involves many additional checks including:
- BIN/IIN database lookup to verify the issuing bank
- CVV verification with the card issuer
- Address Verification System (AVS)
- 3D Secure authentication
- Fraud detection algorithms
Frequently Asked Questions
Are these credit card numbers real?
No, these are dummy credit card numbers generated for testing purposes only. While they pass the Luhn algorithm validation check (which verifies the mathematical validity of the number format), they are not linked to any real bank accounts or credit lines. They cannot be used for actual purchases or transactions.
What is the Luhn algorithm?
The Luhn algorithm (also known as the modulus 10 or mod 10 algorithm) is a checksum formula used to validate identification numbers such as credit card numbers. It was designed to detect accidental errors in data entry, not to protect against malicious attacks. The algorithm generates a check digit that ensures the number passes a specific mathematical validation.
What are valid use cases for fake credit card numbers?
Fake credit card numbers that pass Luhn validation are useful for: (1) Testing payment form validation in e-commerce development, (2) Testing API integrations with payment gateways in sandbox/test mode, (3) UI/UX testing of checkout flows, (4) Educational purposes to understand credit card number structure, (5) Testing data masking and encryption systems.
Why do different card types have different formats?
Each card network (Visa, Mastercard, American Express, etc.) uses specific prefixes called Issuer Identification Numbers (IIN) or Bank Identification Numbers (BIN) to identify the card type. For example, Visa cards start with 4, Mastercard with 51-55 or 2221-2720, and American Express with 34 or 37. Card lengths also vary: most are 16 digits, while Amex uses 15 digits.
Is it legal to generate fake credit card numbers?
Generating random numbers that follow the credit card format is legal when used for legitimate purposes like software testing and education. However, using fake credit card numbers to attempt actual purchases, commit fraud, or deceive merchants is illegal and constitutes credit card fraud. This tool is intended strictly for testing and development purposes.
Related Resources
Reference this content, page, or tool as:
"Random Credit Card Generator" at https://MiniWebtool.com// from MiniWebtool, https://MiniWebtool.com/
by miniwebtool team. Updated: Jan 25, 2026