Credit Card Type Detector
Identify Visa, Mastercard, Amex, Discover and JCB networks in seconds with this free Credit Card Type Detector for accurate credit card processing and fraud protection workflows, free and instantly offline with no signup required ever for merchants, developers and support teams validating BIN ranges securely with trusted accuracy for everyday professional use nationwide.
Identify card brands with this credit card type detector, recognizing Visa, Mastercard, American Express, and other major networks from a card number.
Calculator Inputs
About Card Type
Identify Visa, Mastercard, Amex, Discover and JCB networks in seconds with this free Credit Card Type Detector for accurate credit card processing and fraud protection workflows, free and instantly offline with no signup required ever for merchants, developers and support teams validating BIN ranges securely with trusted accuracy for everyday professional use nationwide.
How this tool works in seconds: Paste any 13 to 19 digit card number with spaces or hyphens and the detector instantly strips separators, checks length, and matches the leading IIN digits to known network ranges including Visa starting 4, Mastercard 51 to 55 and 2221 to 2720, Amex 34 and 37, Discover 6011 and 65, JCB 3528 to 3589, Maestro and UnionPay. It returns the network name, six digit BIN, and digit count locally in your browser with no API call, so you get a clear Card: Visa | BIN: 411111 | Digits: 16 result immediately without sending sensitive numbers anywhere.
Why credit card processing accuracy matters for USA merchants on 09/22/2026: Routing a transaction to the wrong network or accepting an invalid BIN causes declines, $15 to $100 chargeback fees, and disrupted settlements. On 09/22/2026 a single misidentified $2,850 batch can trigger processor holds and customer refunds that cost far more than the sale. This detector applies precise IIN tables used by credit card processing platforms and fraud protection stacks, eliminating manual lookup errors and giving Austin, Chicago, Miami, Denver, Seattle, and New York teams reliable network data in seconds before they submit authorizations.
Fraud protection and checkout workflows: Support agents validating a customer claim check whether the presented card matches the BIN on file before issuing a $450 refund, developers writing unit tests for a checkout form feed 411111, 555555, 378282 and 601100 test cards to confirm Visa versus Mastercard branching logic, and retailers training new cashiers demonstrate how an Amex number differs from Discover at the POS. The tool also helps reconciling settlement reports where a $3,200 daily total must tie only to declared networks, preventing mismatched entries that delay funding and trigger fraud protection reviews from acquiring banks.
Tips for reliable results: Always validate length first because most networks use 16 digits but Amex uses 15 and some Visa can be 13 or 19, so entering all digits without truncation matters. Use copy-pasted numbers from your payment gateway sandbox to avoid typos, and remember detection identifies brand by prefix only and does not verify the card is active, has funds, or passes Luhn, so pair it with a Luhn check. For batch work run one BIN at a time and record the returned BIN column to map future $1,100 repeat orders to their correct network.
Privacy and offline handling: Card numbers never leave your device — detection runs entirely with local regex rules, stores nothing, and works offline after page load, which supports PCI-sensitive environments where transmitting full PANs to third-party lookup services would create compliance risk. No cookies, no logs, and no signup are set, so your test data remains private. Because everything executes in seconds inside the browser, you can validate numbers during development, training, or customer calls without internet dependency, queue limits, or exposing real customer data to external fraud protection platforms.
Where it is used
Austin merchants validate $4,200 daily batches for POS terminals, Chicago developers test $3,800 payment gateway integrations, Miami retailers confirm $1,750 card-present transactions, Denver SaaS teams verify $2,900 subscription signups, Seattle fintechs screen $6,500 fraud review queues, and New York support agents handle $1,200 chargeback inquiries in seconds without exposing card data or relying on external BIN lookup services while maintaining PCI compliance and instant browser-side processing daily today.
How to use the Card Type
- Card Number — enter the value (e.g. 4111111111111111).
- Calculate — press the Calculate button to see the result instantly above.
Formula
First 1–6 digits match known IIN ranges.
Examples
Visa test card
Mastercard gateway test
Amex corporate card
Frequently Asked Questions
- Does this validate if the card is real or has funds?
- No. It only identifies the network by IIN prefix and length. Use a Luhn check and processor authorization to confirm a card is active and fundable.
- Is it safe to paste real card numbers here?
- The detector runs 100% locally in your browser with no upload or log. For PCI hygiene, prefer gateway sandbox test cards like 4111111111111111 during development.
- Why did my Visa show as Unknown?
- Check length is 13, 16 or 19 digits and starts with 4. Spaces and hyphens are stripped automatically, but truncated or typo numbers fail IIN matching.
- Does it handle Mastercard 2221 to 2720 range?
- Yes. The regex covers both legacy 51 to 55 and the newer 2221 to 2720 Mastercard 2-series BINs.
- Can I use this for fraud protection workflows?
- Yes. Teams screen BIN velocity and compare presented card BIN to profile BIN before approving $450 refunds, pairing this with risk scoring and address verification.
- Is BIN lookup the same as credit card processing authorization?
- No. BIN detection is a routing hint for credit card processing systems. Authorization still requires processor approval for the $2,850 batch and settlement.