Luhn Algorithm Validator

Credit Card Validator Credit Card Validator

Validate credit card numbers instantly with Luhn algorithm checking. Detect card brands and verify formatsβ€”all in your browser with complete privacy.

Luhn Check
Brand Detection
Test Cards Included
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⚠️ For Development & Testing Only

This tool validates card number formats using the Luhn algorithm. It does not verify if cards are real, active, or have funds. Never use real card numbers for testing.

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Your Privacy is Protected

All validation happens in your browser. Card numbers are never sent to our servers or stored anywhere.

Test Card Numbers

Use these official test card numbers for development and testing. These numbers pass Luhn validation but are not real cards.

Visa

πŸ’³
CARD NUMBER
4242424242424242
Visa - Standard test card

Visa

πŸ’³
CARD NUMBER
4000056655665556
Visa - Debit card

Mastercard

πŸ’³
CARD NUMBER
5555555555554444
Mastercard - Standard test card

Mastercard

πŸ’³
CARD NUMBER
5200828282828210
Mastercard - Debit card

American Express

πŸ’³
CARD NUMBER
378282246310005
American Express

American Express

πŸ’³
CARD NUMBER
371449635398431
American Express - Alternative

Discover

πŸ’³
CARD NUMBER
6011111111111117
Discover

Discover

πŸ’³
CARD NUMBER
6011000990139424
Discover - Alternative

Diners Club

πŸ’³
CARD NUMBER
3056930009020004
Diners Club

JCB

πŸ’³
CARD NUMBER
3566002020360505
JCB

Safe Testing

These test numbers are provided by payment processors for development purposes. They're safe to use and won't trigger real transactions.

Luhn Valid

All test cards pass the Luhn algorithm checksum validation, making them perfect for testing your payment forms and validation logic.

Learn More

Want to learn more about card validation? Check out our guide on the Luhn algorithm and payment card industry standards.

⚠️ For Development & Testing Only

Never use real card numbers for testing. These test card numbers are provided by payment processors like Stripe, PayPal, and others specifically for development purposes. They will not work for actual purchases. Always use a secure payment processor API for real transactions.

Complete Guide to Credit Card Validation and the Luhn Algorithm

Master credit card validation with our comprehensive Luhn algorithm checker. Learn how payment processors verify card numbers, detect card brands instantly, and implement robust validation in your applications. Essential for developers, QA testers, and anyone building payment systems with proper security practices.

What is Credit Card Validation and Why It's Critical

Credit card validation is the process of verifying that a card number is mathematically valid before processing a payment. The Luhn algorithm, invented by IBM scientist Hans Peter Luhn in 1954, serves as the primary checksum formula used by all major card networks including Visa, Mastercard, American Express, and Discover. This validation catches 100% of single-digit errors and 98% of transposition errors, preventing costly failed transactions and improving user experience by providing instant feedback on card number entry mistakes.

The Luhn Algorithm Explained Step-by-Step:

Step 1: Start from the Right
Beginning with the rightmost digit (the check digit), move left and double every second digit
Example: 4532 0151 2345 6789 β†’ Double: 4, 3, 0, 5, 2, 4, 6, 8
Step 2: Sum the Digits
If doubling results in a two-digit number, add those digits together (e.g., 16 becomes 1+6=7)
8Γ—2=16 β†’ 1+6=7 | 6Γ—2=12 β†’ 1+2=3 | 4Γ—2=8
Step 3: Add All Digits
Sum all the digits together, including the non-doubled digits
Total Sum = 70 (example calculation)
Step 4: Check Divisibility
If the total sum is divisible by 10 (ends in 0), the card number is valid
70 % 10 = 0 βœ“ Valid | 73 % 10 = 3 βœ— Invalid

What Card Validation Checks:

  • βœ“
    Mathematical Validity: Luhn checksum verification
  • βœ“
    Card Brand Detection: IIN/BIN range identification
  • βœ“
    Length Validation: Correct digit count for card type
  • βœ“
    Format Checking: Proper number structure
  • βœ“
    Typo Detection: Common input errors

What It Does NOT Check:

  • βœ—
    Card Existence: Whether the card is real
  • βœ—
    Account Status: If the card is active
  • βœ—
    Available Funds: Credit/debit balance
  • βœ—
    CVV/CVC: Security code verification
  • βœ—
    Expiration Date: Card validity period

Understanding IIN Ranges and Card Brand Detection

Every credit card begins with an Issuer Identification Number (IIN), formerly called the Bank Identification Number (BIN). These first 6-8 digits identify the card network and issuing institution, enabling instant brand detection before payment processing. Modern payment forms use IIN detection to display appropriate card logos, apply brand-specific formatting, and validate length requirements automatically.

πŸ’³ Visa

πŸ’³
IIN Range: Starts with 4
Length: 13, 16, or 19 digits
Format: 4XXX XXXX XXXX XXXX
Example: 4532015112345678
Most widely used card network globally

πŸ’³ Mastercard

πŸ’³
IIN Range: 51-55, 2221-2720
Length: 16 digits
Format: 5XXX XXXX XXXX XXXX
Example: 5425233430109903
Expanded IIN range in 2017 for growth

πŸ’³ American Express

πŸ’³
IIN Range: 34, 37
Length: 15 digits
Format: 3XXX XXXXXX XXXXX
Example: 378282246310005
Unique 4-6-5 digit grouping format

πŸ’³ Discover

πŸ’³
IIN Range: 6011, 644-649, 65
Length: 16 or 19 digits
Format: 6XXX XXXX XXXX XXXX
Example: 6011111111111117
Accepts Diners Club cards globally

πŸ’³ JCB

πŸ’³
IIN Range: 3528-3589
Length: 16 or 19 digits
Format: 35XX XXXX XXXX XXXX
Example: 3566002020360505
Popular in Asia-Pacific region

πŸ’³ Diners Club

πŸ’³
IIN Range: 300-305, 36, 38
Length: 14, 16, or 19 digits
Format: 3XXX XXXXXX XXXX
Example: 30569309025904
First payment card network (1950)

πŸ’‘ Pro Tip for Developers:

Implement progressive card type detection as users type. Show the detected card logo after the first 4-6 digits, apply brand-specific formatting (Amex uses 4-6-5, others use 4-4-4-4), and validate the total length matches the detected card type. This provides instant feedback and reduces validation errors by up to 60% in production environments.

Implementing Card Validation in Your Applications

1. E-commerce Checkout Forms

Validate card numbers client-side before sending to payment processors, reducing failed transactions and API costs by 40%

❌ Without Validation: User submits β†’ API call β†’ Payment fails β†’ User frustrated Costs money, poor UX, high bounce rate
βœ“ With Client-Side Validation: User types β†’ Instant feedback β†’ Fix errors β†’ Submit valid card Zero API waste, better UX, 30% fewer abandons

2. Payment Gateway Integration Testing

Use validated test card numbers during development to ensure proper handling of various card types and scenarios

Stripe Test: 4242424242424242 (Visa - Always succeeds)
Stripe Test: 4000000000000002 (Visa - Always declined)
Stripe Test: 4000000000009995 (Visa - Insufficient funds)
PayPal Test: 5555555555554444 (Mastercard - Success)
βœ“ All pass Luhn validation: Safe for automated testing

3. Fraud Prevention Systems

First line of defense against fraudulent transactions by catching obviously invalid card numbers before processing

Layer 1: Luhn validation (catches typos and random numbers)
Layer 2: IIN verification (ensures card type matches processor)
Layer 3: Length check (prevents truncated/padded numbers)
Layer 4: Format validation (detects copy-paste errors)
βœ“ Result: 95% reduction in fraudulent card attempts

4. Subscription and Recurring Billing

Validate stored payment methods before charging to reduce declined payments and improve retention

❌ Without Validation: Corrupted card data β†’ Failed charge β†’ Account suspension Lost revenue, angry customers, high churn
βœ“ With Pre-Charge Validation: Validate card β†’ Detect issues β†’ Email customer β†’ Update card Proactive support, better retention, steady revenue

5. Mobile App Payment Flows

Implement instant validation on mobile devices to prevent submission of invalid cards over cellular networks

Challenge: Limited bandwidth, slower processing on mobile
Solution: Client-side Luhn check before network request
Benefit: Saves data, faster response, better mobile UX
Implementation: Validate as user types, show instant feedback
βœ“ Impact: 50% faster checkout, 25% fewer errors

6. POS and In-Person Payment Terminals

Verify manually entered card numbers at point-of-sale systems to catch transcription errors

Scenario: Customer reads card number over phone
Risk: Mishearing digits, transposition errors
Validation: Luhn check catches 98% of transcription mistakes
Workflow: Invalid β†’ Ask customer to repeat β†’ Verify again
βœ“ Outcome: Fewer chargebacks, accurate order processing

⚠️ Critical Security Warning

Client-side validation is NOT sufficient for security. Always validate card numbers server-side before processing payments. Client-side validation improves UX and reduces API costs, but malicious users can bypass it. Never trust user inputβ€”always verify on your backend.

Security Best Practices:
  • β€’ Never log or store full card numbers in plain text
  • β€’ Use tokenization for storing payment methods
  • β€’ Implement PCI DSS compliance standards
  • β€’ Always use HTTPS for payment forms
  • β€’ Validate server-side even if client-side validation passed

Frequently Asked Questions About Card Validation

Is it safe to enter my real card number in this validator?

Yes, it's completely safe because all validation happens entirely in your browser using JavaScript. Your card number never leaves your deviceβ€”it's not transmitted to our servers, not logged anywhere, and not stored in any way. However, as a best practice, we recommend using test card numbers (provided in our examples) instead of real cards for testing purposes.

How to verify: Open your browser's Developer Tools (F12) β†’ Network tab β†’ Enter a card number β†’ You'll see zero network requests made during validation

Can I use this tool to check if a card actually works?

No. This tool only validates the format and mathematical validity of card numbers using the Luhn algorithm. It cannot verify if a card exists, is active, has available funds, or belongs to a real account. To process actual payments, you must use a certified payment processor like Stripe, PayPal, Square, or Braintree that connects to the card networks.

βœ“ What This Tool Does:
  • β€’ Validates checksum (Luhn)
  • β€’ Detects card brand (Visa, MC, etc.)
  • β€’ Checks format and length
  • β€’ Catches typos and errors
βœ— What It Cannot Do:
  • β€’ Verify card exists
  • β€’ Check account status
  • β€’ Validate CVV/expiry
  • β€’ Process real payments

Where can I get test card numbers for development?

All major payment processors provide official test card numbers. These numbers pass Luhn validation but are specifically designated for testing and will never charge real money. Using these test cards prevents accidental charges during development and ensures your integration works correctly across different card brands.

Stripe Test Cards:
4242 4242 4242 4242 (Success)
4000 0000 0000 0002 (Decline)
PayPal Test Cards:
5555 5555 5555 4444 (Mastercard)
3782 822463 10005 (Amex)
βœ“ Best Practice: Always use processor-provided test cards in staging environments

Why does my valid card show as invalid in the validator?

There are several reasons why a legitimate card might fail validation. Most commonly: (1) You've entered the number incorrectlyβ€”a single wrong digit will fail the Luhn check, (2) The card uses a newer IIN range we haven't added yet (rare but possible with new card issuers), (3) It's a specialized card type like a gift card or prepaid card with non-standard formatting, or (4) The card is damaged and the number has become illegible.

Troubleshooting steps:
  1. Double-check you've entered all digits correctly
  2. Verify the number directly from your physical card
  3. Remove any spaces or dashes (we auto-format)
  4. Try a different card if issues persist
  5. Contact your card issuer if you suspect card damage

What is PCI DSS compliance and do I need it?

PCI DSS (Payment Card Industry Data Security Standard) is a set of security requirements for any organization that stores, processes, or transmits credit card data. If you handle real card numbers in any wayβ€”even temporarily during checkoutβ€”you must be PCI compliant. This includes proper encryption, secure networks, regular security testing, and strict access controls.

Do you need PCI compliance?
βœ“ YES if you store card numbers in your database
βœ“ YES if you process payments on your server
βœ“ YES if you transmit card data over networks
βœ— NO if you use tokenization (Stripe, PayPal, etc.)
βœ— NO if payments are fully handled by third parties
πŸ’‘ Pro Tip:
Use payment processors with hosted checkout pages or tokenization. They handle PCI compliance for you, reducing your security burden and legal liability significantly.

How accurate is the Luhn algorithm at detecting errors?

The Luhn algorithm is remarkably effective for its simplicity: it catches 100% of single-digit errors (e.g., typing 5 instead of 6) and approximately 98% of transposition errors (e.g., swapping 57 to 75). However, it cannot detect all errorsβ€”specifically, it misses some two-digit transpositions and won't catch errors where wrong numbers still produce a valid checksum.

βœ“ Catches These Errors:
  • β€’ Single digit mistakes (4242 β†’ 4243)
  • β€’ Most adjacent transpositions (42 β†’ 24)
  • β€’ Jump transpositions (4__2 β†’ 2__4)
  • β€’ Phonetic errors (typing what you hear)
  • β€’ OCR scanning mistakes
⚠ May Miss These:
  • β€’ Some twin transpositions (00 β†’ 00)
  • β€’ Compensating errors (two wrongs = valid)
  • β€’ Systematic data corruption
  • β€’ Deliberate number generation
  • β€’ Multiple simultaneous errors
Bottom line: Luhn is excellent for catching accidental errors but shouldn't be your only validation layer for payment security.

Can I integrate this validator into my website?

Absolutely! The Luhn algorithm is a simple mathematical formula that you can implement in any programming language. We provide implementation examples in JavaScript, Python, PHP, and other languages. All modern payment libraries (Stripe.js, PayPal SDK) include built-in card validation functions you can use directly.

Quick Implementation Guide:
  1. Add validation on "input" or "blur" events
  2. Show real-time feedback to users (valid/invalid icon)
  3. Auto-format card numbers with spaces (4-4-4-4)
  4. Detect and display card brand logo
  5. Validate again server-side before payment
Popular Libraries:
β€’ JavaScript: card-validator, cleave.js, imask.js
β€’ Python: creditcard, python-stdnum
β€’ PHP: Card validator package, Omnipay
β€’ Ruby: CreditCardValidations gem

What's the difference between IIN and BIN?

IIN (Issuer Identification Number) is the modern term for what was previously called BIN (Bank Identification Number). The name changed in 2006 when the industry recognized that not all card issuers are banksβ€”credit unions, fintech companies, and other financial institutions also issue payment cards. Both terms refer to the same thing: the first 6-8 digits of a card number that identify the card network and issuing institution.

IIN Structure Breakdown:
Digit 1: Major Industry Identifier (4=Banking, 5=Banking, 3=Travel/Entertainment)
Digits 1-6: Issuer Identification Number (Card network + issuing bank)
Digits 7-15: Account number (unique to cardholder)
Last digit: Check digit (calculated using Luhn algorithm)
Example: 4532 0151 2345 6789
4 = Visa | 453201 = Specific bank | 51234567 = Account | 9 = Checksum

πŸ” Critical Security Reminders

This tool is for development, testing, and educational purposes only. Never use it to verify real customer cards for actual transactions. Always use certified payment processors with proper security certifications and fraud protection.

Legal & Ethical Guidelines:
  • β€’ Never attempt to generate or validate stolen card numbers
  • β€’ Don't use this tool to test cards you don't own
  • β€’ Always comply with PCI DSS when handling real card data
  • β€’ Use only authorized test cards in development environments
  • β€’ Respect privacy laws and regulations (GDPR, CCPA, etc.)
  • β€’ Implement proper security measures in production systems

βš–οΈ Legal Notice: Misuse of payment card information is illegal and subject to criminal prosecution under federal and state laws. This includes the Computer Fraud and Abuse Act (CFAA), wire fraud statutes, and payment card industry regulations. Always use payment systems ethically and legally.

πŸ“š Additional Resources for Developers

Official Documentation

Read payment processor docs from Stripe, PayPal, Square for best practices and API integration guides

PCI Security Standards

Learn about PCI DSS compliance requirements, security audit procedures, and certification processes

Code Examples

Find open-source Luhn algorithm implementations in JavaScript, Python, PHP, Ruby, and other languages