Credit Card Validator

To use Card Validator, Paste card no in the given input box below and click on validate credit card button.

Check your credit card number

  • Visa
  • Mastercard
  • American Express
  • Discover
  • JCB
  • Diners Club

Example credit card numbers

Credit Card Type Credit Card Number
American Express 371449635398431
Diners Club 30569309025904
Discover 6011111111111117
JCB 3530111333300000
MasterCard 5555555555554444
Visa 4111111111111111

Passed Validation Failed


Luhn Algorithm Check

We'll check your number against the Luhn Algorithm to see if it is a valid credit card number.

Major Industry Identifier

The first digit of a credit card number represent the category of entity which issued the card.

Issuer identification number

The first six digits of a card number identify the institution that issued the card to the card holder.

Personal Account Number

igits 7 to final number minus 1 (the last is the checksum) indicate the individual account identifier.


About Credit Card Validator

ToolsPivot's Credit Card Validator instantly verifies whether credit or debit card numbers follow proper formatting rules and pass the industry-standard Luhn algorithm check. E-commerce developers waste hours debugging payment failures caused by incorrectly entered card numbers—this tool catches format errors before they reach your payment gateway. Merchants, QA testers, and financial application developers use it to validate card structure, identify the issuing network, and retrieve BIN information without processing real transactions.

ToolsPivot's Credit Card Validator Overview

Core Functionality

The Credit Card Validator analyzes card numbers using the Luhn algorithm (also called the Mod 10 algorithm) to determine structural validity. Enter any 13-19 digit card number, and ToolsPivot returns validation status, card network identification (Visa, Mastercard, American Express, Discover, JCB, Diners Club), issuing bank details, country of origin, and BIN/IIN breakdown. The tool processes validation entirely client-side, ensuring card numbers never transmit to external servers.

Primary Users & Use Cases

Payment gateway developers rely on this validator during integration testing to ensure their systems correctly handle various card formats. E-commerce merchants use it to pre-screen customer entries before authorization requests, reducing declined transaction rates. QA engineers validate test card numbers across different networks, while fraud prevention teams verify BIN data matches expected geographic regions.

Problem & Solution

Manually validating card numbers requires understanding Luhn mathematics, BIN databases, and network-specific formatting rules—knowledge most users lack. The Credit Card Validator automates these checks instantly, transforming a complex technical process into a single-click verification that returns comprehensive card information within seconds.

Key Benefits of Credit Card Validator

Instant Luhn Validation Verify card number validity in under one second using the same checksum algorithm financial institutions employ.

Card Network Detection Automatically identify whether a card belongs to Visa, Mastercard, American Express, Discover, JCB, or Diners Club based on prefix patterns.

BIN/IIN Information Retrieval Extract the first 6-8 digits to reveal issuing bank name, card type (credit/debit), and country of origin.

Zero Data Storage All validation occurs in your browser—card numbers never transmit to ToolsPivot servers, ensuring complete privacy.

Major Industry Identifier (MII) Analysis Determine the card's industry category (banking, petroleum, travel) from the first digit.

Input Error Detection Catch typos and transposition errors before they cause payment gateway rejections or failed API calls.

Developer-Friendly Output Receive structured validation results suitable for integration testing, documentation, and debugging workflows.

Multi-Network Support Validate cards from all major payment networks with network-specific length and prefix verification.

Core Features of Credit Card Validator

Luhn Algorithm Check Applies the Mod 10 checksum formula to verify the mathematical validity of any card number sequence.

Automatic Card Type Recognition Detects Visa (starts with 4), Mastercard (51-55, 2221-2720), Amex (34, 37), Discover (6011, 644-649, 65), JCB (3528-3589), and Diners Club (300-305, 36, 54).

BIN Database Lookup Cross-references the Bank Identification Number against comprehensive issuer databases to retrieve bank and country data.

Length Validation Confirms card numbers meet network-specific length requirements—15 digits for Amex, 16 for most others, up to 19 for some Visa cards.

PAN Structure Analysis Breaks down the Primary Account Number into MII, IIN, individual account identifier, and check digit components.

Real-Time Processing Returns validation results instantly without page reloads or server round-trips.

Clean Input Handling Automatically strips spaces, dashes, and other formatting characters users might include when entering numbers.

Checksum Digit Calculation Displays the expected check digit based on Luhn formula, helping identify single-digit errors.

Card Level Identification Distinguishes between standard, gold, platinum, and corporate card tiers when BIN data is available.

Batch Validation Support Process multiple card numbers sequentially for QA testing or database cleanup operations.

How ToolsPivot's Credit Card Validator Works

  1. Enter the credit or debit card number in the input field—spaces and dashes are automatically removed.

  2. Click the Validate button to initiate the verification process.

  3. The tool applies the Luhn algorithm to calculate the checksum and verify mathematical validity.

  4. Card prefix patterns are matched against known network identifiers to determine the issuing brand.

  5. BIN digits are cross-referenced with issuer databases to retrieve bank name, country, and card type.

  6. Results display validation status, network type, issuing bank, country of origin, and detailed BIN breakdown.

When to Use Credit Card Validator

Credit Card Validator proves essential whenever you need to verify card number formatting without processing actual payments. Use it during development, testing, or when handling customer inquiries about declined transactions.

Payment Integration Development Verify your checkout flow correctly handles all card formats before going live with real payment processing.

QA Testing Workflows Confirm test card numbers are valid before using them in automated testing suites or manual test cases.

Customer Support Troubleshooting Quickly determine if a customer's reported card number contains format errors causing payment failures.

Fraud Pattern Analysis Check if suspicious transaction card numbers pass basic validity checks or use impossible formats.

Data Migration Validation Verify card numbers in legacy databases remain structurally valid before importing to new payment systems.

Educational Purposes Learn how card numbering systems work, including BIN structures and checksum algorithms.

Form Validation Testing Test your website's front-end card validation logic against known valid and invalid number patterns.

The validator cannot verify card balances, active status, or authenticate transactions—use it strictly for format validation and network identification.

Use Cases / Applications

E-Commerce Checkout Testing

  • Context: Developer building a new online store payment page
  • Process:
    • Generate test card numbers for each supported network
    • Validate each number passes Luhn check before use
    • Verify checkout form correctly identifies card types
  • Outcome: Payment page handles Visa, Mastercard, and Amex correctly without live transaction testing

Payment Gateway Integration

  • Context: Fintech startup connecting to Stripe/PayPal APIs
  • Process:
    • Validate sandbox test card numbers from gateway documentation
    • Confirm API responses match expected card network types
    • Test edge cases with international and corporate cards
  • Outcome: Integration handles all card formats without unexpected errors in production

Fraud Prevention Screening

  • Context: Risk analyst reviewing flagged transactions
  • Process:
    • Extract card numbers from suspicious order patterns
    • Run batch validation to identify impossible card formats
    • Cross-reference BIN data with claimed billing countries
  • Outcome: Identified three orders using invalid card number structures before manual review

Database Cleanup Project

  • Context: Company migrating customer payment data to new CRM
  • Process:
    • Export stored card references from legacy system
    • Validate each entry passes format checks
    • Flag invalid entries for customer re-verification
  • Outcome: Clean migration with 12% of records flagged for customer contact

Educational Workshop

  • Context: Computer science instructor teaching security concepts
  • Process:
    • Demonstrate Luhn algorithm calculation steps
    • Show how BIN prefixes identify card networks
    • Let students validate sample numbers hands-on
  • Outcome: Students understand card validation mechanics without handling real financial data

Understanding Card Number Structure

Credit card numbers follow an international standard (ISO/IEC 7812) that encodes specific information within each digit sequence. The first digit is the Major Industry Identifier (MII), where 4 indicates banking/financial for Visa cards and 5 represents the same category for Mastercard. The first six to eight digits form the Issuer Identification Number (IIN), previously called Bank Identification Number (BIN), which identifies the institution that issued the card.

Following the IIN, the next sequence of digits comprises the individual account identifier assigned by the issuing bank. This section varies in length depending on the card network—typically making up the middle portion of a 16-digit number. The final digit is the check digit, calculated using the Luhn algorithm to verify the entire number's validity.

Understanding this structure helps developers implement proper validation logic and allows fraud analysts to quickly identify potentially invalid card numbers before processing.

Common Validation Errors Explained

Luhn Check Failed The card number's checksum doesn't match the expected value, indicating a typo, transposition error, or completely fabricated number. This is the most common error caught by validators.

Invalid Length Card numbers must meet network-specific length requirements. Visa accepts 13, 16, or 19 digits; Amex requires exactly 15; most others need 16. Numbers outside these ranges fail validation.

Unknown Card Type When the card prefix doesn't match any recognized network pattern, the validator cannot determine the issuing brand. This may indicate a regional card network not in the database or an invalid number.

Invalid Characters Card numbers should contain only digits. Letters, special characters, or formatting beyond spaces and dashes indicate input errors or copy-paste problems.

Related Tools

Complete your payment validation workflow with these complementary ToolsPivot tools:

FAQ Section

Frequently Asked Questions

What is a credit card validator?

A credit card validator checks whether a card number follows proper formatting rules and passes the Luhn algorithm checksum. It verifies structural validity without confirming account status, available balance, or transaction authorization.

How does the Luhn algorithm work?

The Luhn algorithm doubles every second digit from right to left, subtracts 9 from results over 9, then sums all digits. Valid card numbers produce totals divisible by 10.

Can this tool verify if a card has available funds?

No. ToolsPivot's Credit Card Validator only checks number formatting and structure. Verifying funds requires contacting the issuing bank through an authorized payment processor.

Is it safe to enter my real card number?

All validation happens in your browser—numbers never transmit to external servers. However, for maximum security, use this tool only for test numbers or when troubleshooting specific validation questions.

What card types does the validator support?

The tool recognizes Visa, Mastercard, American Express, Discover, JCB, Diners Club, Maestro, and UnionPay cards based on their prefix patterns and length requirements.

Why does my valid card show as invalid?

Common causes include typos, transposed digits, or copy-paste errors introducing hidden characters. Re-enter the number manually without spaces or formatting to test again.

What is a BIN or IIN number?

The Bank Identification Number (BIN), also called Issuer Identification Number (IIN), comprises the first 6-8 digits identifying the card-issuing institution and country.

Can I use this for payment processing testing?

Yes. Developers commonly use card validators alongside test card generators to verify payment integration logic before connecting live payment gateways.

Does validation prove a card is legitimate?

No. Valid formatting only means the number follows mathematical rules. Fraudulent cards can still pass Luhn checks—actual fraud detection requires additional verification methods.

What does MII stand for in card validation?

Major Industry Identifier is the first digit indicating the card's industry category: 4 and 5 for banking/financial, 3 for travel/entertainment, 6 for merchandising/banking.

How accurate is the BIN database lookup?

BIN data accuracy depends on database currency. While major issuers are well-documented, newer cards or regional banks may show limited information.

Can I validate cards from any country?

Yes. The Luhn algorithm is an international standard used by card networks worldwide. BIN lookup may provide varying detail levels for different regions.



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