Fake Credit Card Generator
Generate Luhn-validated fake credit card numbers for testing—with CVV, expiry dates, and bulk export to CSV/JSON.
⚠️ For Testing Only
These are fake credit card numbers generated using the Luhn algorithm for development and testing purposes. They pass validation checks but cannot be used for real transactions and are completely safe.
Our Fake Credit Card Generator is a comprehensive free tool for creating Luhn-validated test credit card numbers for development and testing. Supporting 7 major card types (Visa, Mastercard, Amex, Discover, JCB, Diners Club, UnionPay), it generates complete card details including CVV codes and expiry dates. Perfect for developers, QA testers, and educators who need safe, realistic test data—all processed in your browser.
Common Use Cases for Fake Credit Cards
- ✓Payment Gateway Testing
Test payment form validation, checkout flows, and payment gateway integrations without using real card numbers.
- ✓E-commerce Development
Develop and debug shopping carts, payment pages, and order processing systems with realistic test data.
- ✓QA & Automation Testing
Create automated test suites for payment forms with valid card numbers that pass Luhn validation.
- ✓Form Validation Testing
Test credit card input fields, validation logic, and error handling in web applications.
- ✓Educational Purposes
Teach payment processing concepts, Luhn algorithm, and card validation without real financial data.
- ✓API Development
Test payment APIs, subscription systems, and billing integrations with safe dummy card data.
Why Choose Our Card Generator?
7 Card Types
Visa, Mastercard, Amex, Discover, JCB, Diners Club, and UnionPay with authentic prefixes
Luhn Algorithm Validated
All generated numbers pass checksum validation just like real cards
Complete Card Details
Includes card number, CVV (3 or 4 digits), and future expiry dates
Bulk Generation
Generate up to 50 cards at once for comprehensive testing
Multiple Export Formats
Export to CSV, JSON, or plain text for easy integration with test suites
Visual Card Design
Beautiful gradient card designs with copy buttons for quick access
How to Use the Fake Credit Card Generator
- Select Card Type: Choose from Visa, Mastercard, Amex, Discover, JCB, Diners Club, or UnionPay
- Set Quantity: Enter how many cards to generate (1-50)
- Generate: Click the generate button to create cards with Luhn validation
- Copy Cards: Click the copy icon on any card to copy all details
- Bulk Export: Expand export options and download as CSV, JSON, or TXT
- Regenerate: Click regenerate to create new random numbers
Understanding the Luhn Algorithm
The Luhn algorithm (modulus 10) is a checksum formula invented by IBM scientist Hans Peter Luhn. It validates credit card numbers by:
- Starting from the rightmost digit, double every second digit
- If doubling results in a number greater than 9, subtract 9
- Sum all the digits
- If the total modulo 10 equals 0, the number is valid
Example: Validating 4532015112830366
6*2=12→3, 6+3=9, 0+3=3, 3*2=6, 8+6=14, 3*2=6, 1+6=7, 1*2=2, 5+2=7, 1*2=2, 0+2=2, 2*2=4, 3+4=7, 5*2=10→1, 4+1=5
Sum = 70, 70 % 10 = 0 ✓ Valid
Card Type Specifications
Card Type | Prefix | Length | CVV |
---|---|---|---|
Visa | 4 | 16 digits | 3 digits |
Mastercard | 51-55 | 16 digits | 3 digits |
American Express | 34, 37 | 15 digits | 4 digits |
Discover | 6011 | 16 digits | 3 digits |
JCB | 35 | 16 digits | 3 digits |
Diners Club | 36 | 14 digits | 3 digits |
UnionPay | 62 | 16 digits | 3 digits |
Export Formats Explained
CSV Format
Comma-separated values, perfect for Excel or database imports:
Card Number,CVV,Expiry Date,Card Type "4532 0151 1283 0366",123,05/28,Visa "5425 2334 3010 9903",456,12/29,Mastercard
JSON Format
Structured data for API testing and programmatic use:
{ "generated_at": "2025-01-15T10:30:00.000Z", "cards": [ { "number": "4532 0151 1283 0366", "cvv": "123", "expiry": "05/28", "type": "Visa" } ] }
Frequently Asked Questions
Are these real credit card numbers?
No! These are completely fake numbers generated using mathematical algorithms (Luhn algorithm). They pass validation checks but are NOT linked to any real bank accounts and CANNOT be used for purchases. They're purely for testing and development purposes.
Is it legal to use fake credit card numbers?
Yes, using fake credit card numbers for testing, development, and educational purposes is completely legal and encouraged. However, attempting to use them for real transactions, fraud, or any illegal activity is a serious crime. Always use these numbers only in test/sandbox environments.
What is the Luhn algorithm?
The Luhn algorithm (also called modulus 10 or mod 10) is a checksum formula used to validate credit card numbers. It detects accidental errors in card numbers by calculating a check digit. Our generator creates numbers that pass this validation, making them suitable for testing form validation logic.
Can I generate cards in bulk?
Yes! You can generate up to 50 fake credit cards at once. After generation, use the Bulk Export Options to download all cards in CSV, JSON, or plain text format. This is perfect for automated testing, seeding test databases, or creating comprehensive test datasets.
What card types are supported?
We support 7 major card types: Visa (starts with 4), Mastercard (starts with 5), American Express (starts with 34/37, 15 digits), Discover (starts with 6011), JCB (starts with 35), Diners Club (starts with 36, 14 digits), and UnionPay (starts with 62). Each has authentic formatting and CVV length.
Do the CVV and expiry dates work?
The CVV codes are randomly generated (3 digits for most cards, 4 for Amex) and the expiry dates are set 1-6 years in the future. While they look realistic, they're not validated against any real system. These are purely for visual testing and form validation, not actual payment processing.
Legal & Ethical Use
Legal Uses:
- Testing payment forms in development/staging environments
- QA automation and regression testing
- Educational demonstrations and training
- API testing and integration development
- Form validation logic testing
Illegal Uses (DO NOT):
- Attempting real purchases or transactions
- Fraud, identity theft, or impersonation
- Bypassing payment systems
- Any activity that violates laws or terms of service