Credit Card Generator for Testing
Generate valid credit card numbers for testing and development. All numbers pass the Luhn algorithm and follow real card formats.
What is a Valid Credit Card Generator?
A valid credit card generator creates card numbers that pass the Luhn algorithm (also known as the modulus 10 algorithm), which is the checksum formula used to validate credit card numbers. These generated numbers follow real card industry patterns including proper BIN/IIN prefixes for each card brand (Visa, MasterCard, American Express, Discover). However, these numbers are randomly generated and not linked to any real accounts or financial institutions. They are strictly for testing and development purposes, such as validating payment forms, testing e-commerce checkout flows, or developing payment processing systems.
How It Works
The generator uses authentic Bank Identification Number (BIN) prefixes for each card brand - Visa starts with 4, MasterCard with 51-55 or 2221-2720, American Express with 34 or 37, and Discover with 6011 or 65. After selecting the prefix, random digits fill the remaining positions. The final digit is calculated using the Luhn algorithm: each digit is processed from right to left, doubling every second digit, subtracting 9 if the result exceeds 9, then summing all digits. The check digit makes the total sum divisible by 10. This ensures the generated number passes validation checks used by payment systems, making it suitable for testing without using real card data.
Supported Card Types
This tool supports the four major credit card brands: Visa (16 digits, 3-digit CVV), MasterCard (16 digits, 3-digit CVV), American Express (15 digits, 4-digit CVV), and Discover (16 digits, 3-digit CVV). Each card type follows its specific format rules including proper digit length, BIN prefix patterns, and CVV length. The generated cards include realistic cardholder names, future expiration dates, and appropriate CVV codes. All generated data is completely random and follows industry-standard formatting for authentic-looking test data.