ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
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Validate credit card numbers using Luhn algorithm, detect card type (Visa, Mastercard, Amex, Discover), verify card number length, check BIN (Bank Identification Number), and provide validation results with card brand information and security insights.
Note: AI can make mistakes, so please double-check it.
Common questions about this tool
Enter the credit card number into the validator. The tool uses the Luhn algorithm to verify the check digit, detects the card type (Visa, Mastercard, Amex, Discover), validates number length, checks BIN (Bank Identification Number), and provides detailed validation results.
The Luhn algorithm (also called mod-10) is a checksum formula used to validate credit card numbers. It verifies the check digit by performing mathematical operations on the card number digits, ensuring the number follows a valid pattern.
The validator supports major card types including Visa, Mastercard, American Express, Discover, Diners Club, JCB, and UnionPay. It automatically detects the card type from the first digits (BIN) of the card number.
The validator only checks format and structure using mathematical algorithms. It does not store, transmit, or process actual card data. However, never enter real credit card numbers on untrusted websites - use test card numbers for validation.
BIN is the first 6 digits of a credit card number that identify the issuing bank and card type. The validator uses BIN to detect card brand, verify number format, and provide bank information when available.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
Based on 1 research source:
Learn what this tool does, when to use it, and how it fits into your workflow.
This tool checks whether a credit card number is well-formed and mathematically valid. It does not charge the card or contact your bank. It only checks the number on your screen.
Wrong digits and typos cause failed payments and support calls. Checking format and checksum before you submit saves time and reduces errors. This tool solves that by validating the number as you type and showing which check failed.
It is for anyone who enters or tests card numbers: developers, testers, support staff, or users who want to confirm a number before submitting. You can use it with no technical background. No account or sign-in is required. A related operation involves validating IBAN numbers as part of a similar workflow.
A credit card number is not random. The first digits identify the card network and often the issuer. The last digit is a check digit. It is computed from the rest of the number so that simple typing errors can be detected.
Stores, apps, and payment forms use this same idea. They run a quick math check (the Luhn algorithm) and check length and prefix before sending the number to a payment processor. Doing that check early avoids sending invalid numbers and gives clear feedback. For adjacent tasks, validating phone formats addresses a complementary step.
People struggle when they type long numbers by hand. One wrong or swapped digit makes the number invalid. Without a checker, they only find out after submission. This tool runs the same checks instantly and explains what is wrong.
Developers use it to test payment forms with correct-format numbers. QA testers use sample cards to confirm that valid and invalid cases are handled. Support staff use it to quickly see if a customer’s number fails length or Luhn before asking them to re-enter. Users who are unsure whether they typed a number correctly can paste it and see if it passes. Anyone documenting or teaching payment validation can show how Luhn and brand checks work with real-looking examples. When working with related formats, validating email addresses can be a useful part of the process.
The tool uses three checks. All must pass for the number to be considered valid.
Luhn algorithm (checksum): From the rightmost digit to the left, every second digit is doubled. If doubling gives a number greater than 9, 9 is subtracted. All digits are then added. If the total is divisible by 10, the check digit is correct. This catches many single-digit and swap errors. In some workflows, validating JSON syntax is a relevant follow-up operation.
Prefix (brand): The start of the number is compared to known prefixes (e.g. 4 for Visa, 34 or 37 for American Express). The first matching prefix sets the brand. If none match, the brand is unknown and prefix check fails.
Length: The number of digits must match one of the allowed lengths for that brand. For example, Visa allows 13 or 16 digits; American Express allows 15. If the brand is unknown, lengths between 13 and 19 are accepted for the length check only; the overall result still fails because prefix failed. For related processing needs, validating XML structure handles a complementary task.
Formatting for display uses the same brand config. Spaces are inserted at fixed positions (e.g. after 4, 8, 12 digits for Visa) so the number is easier to read. Formatting does not change the validated value.
| Brand | Typical prefix (start of number) | Allowed lengths (digits) |
|---|---|---|
| Visa | 4 | 13, 16 |
| Mastercard | 51–55, 22–27 | 16 |
| American Express | 34, 37 | 15 |
| Discover | 6011, 644–649, 65 | 16, 19 |
| Diners Club | 300–305, 36, 38 | 14, 16 |
| JCB | 3528, 3589 | 16, 19 |
Other networks or prefixes are reported as unknown. The tool does not verify that the number is actually issued or active; it only checks format and math.
Use sample test cards only in safe environments. Do not enter real card numbers on sites you do not trust. This tool does not store or transmit the full number for validation; optional insights use only brand and BIN (first six digits).
The tool does not contact your bank or any payment processor. It does not check if the card is active, has funds, or is blocked. It only checks that the number is well-formed and passes the Luhn check. A valid result here does not guarantee acceptance by a merchant.
If you get "Card number too long," trim to 19 digits. If the network is unknown, check the first digits against the reference table; some brands or regional schemes may not be supported. If Luhn fails, re-enter the number carefully or try the other way around (e.g. swap two adjacent digits) to fix a common typo.
Security insights are optional and may be unavailable at times. They give general information only. Rely on the validation result (valid or invalid) and the detailed analysis for real checks. For production payment flows, always follow your platform’s security rules and use official payment APIs.
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Validate credit card numbers using Luhn algorithm, detect card type (Visa, Mastercard, Amex, Discover), verify card number length, check BIN (Bank Identification Number), and provide validation results with card brand information and security insights.