Credit Card Number Regex Pattern

Match and validate credit card numbers (Visa, MasterCard, Amex, Discover) using regex. Includes Luhn-check-ready patterns with optional separators.

The Pattern

/\b(?:4\d{3}|5[1-5]\d{2}|3[47]\d{2}|6(?:011|5\d{2}))[- ]?\d{4}[- ]?\d{4}[- ]?\d{1,4}\b/g

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How It Works

Token	Meaning
`\b`	Word boundary to prevent partial matches
`4\d{3}`	Visa: starts with 4, followed by 3 digits
`5[1-5]\d{2}`	MasterCard: starts with 51-55
`3[47]\d{2}`	Amex: starts with 34 or 37
`6(?:011\|5\d{2})`	Discover: starts with 6011 or 65
`[- ]?`	Optional dash or space separator between groups
`\d{4}`	Group of 4 digits
`\d{1,4}`	Final group of 1 to 4 digits (Amex has 15 digits total)

Test Cases

✅4111111111111111Match

✅4111-1111-1111-1111Match

✅5500 0000 0000 0004Match

✅371449635398431Match

✅6011111111111117Match

❌1234567890123456No match

❌411111No match

Code Examples

javascript

const ccRegex = /\b(?:4\d{3}|5[1-5]\d{2}|3[47]\d{2}|6(?:011|5\d{2}))[- ]?\d{4}[- ]?\d{4}[- ]?\d{1,4}\b/g;
const text = "Cards: 4111-1111-1111-1111 and 5500 0000 0000 0004";
const matches = text.match(ccRegex);
console.log(matches); // ["4111-1111-1111-1111", "5500 0000 0000 0004"]

python

import re
cc_regex = r'\b(?:4\d{3}|5[1-5]\d{2}|3[47]\d{2}|6(?:011|5\d{2}))[- ]?\d{4}[- ]?\d{4}[- ]?\d{1,4}\b'
text = "Cards: 4111-1111-1111-1111 and 5500 0000 0000 0004"
matches = re.findall(cc_regex, text)
print(matches)  # ['4111-1111-1111-1111', '5500 0000 0000 0004']

Common Use Cases

Payment forms - validate card number format before submission
Data masking - detect card numbers in logs for PCI compliance
Fraud detection - identify card number patterns in text
E-commerce - route to correct payment processor by card type

Related Patterns

Phone Number UUID US ZIP Code

Want to test this pattern with your own data?

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