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Extract candidate continuous digit strings matching the tool’s card-number pattern from text.
Enter text to start extraction
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Paste text to find candidate digit strings that may look like payment card numbers. A match must be a continuous run of 16 to 19 digits, start with a digit from 1 to 9, and have a word boundary on both sides. The result is the matched string itself; the tool does not return its line, surrounding text, or source position.
“Candidate” matters here: length and character shape are only a pattern. A matching run might be an order, reference, or other long number. The scan does not check a payment card checksum, identify an issuer or network, or establish that an account exists. It is a text filter, not card verification or a complete sensitive-data detector.
Matches are found as you enter or paste text. With Remove Duplicates on, the output contains each distinct matched string once. Turn that option off to retain repeated appearances. In that mode, Show Frequency groups identical strings and shows their count; without grouping, repeated matches remain separate rows. The displayed count therefore depends on the selected view. Copying copies the current result view.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Paste a fictional or properly masked sample into Input Text. The example control can load the page’s built-in sample. Do not paste live payment data for convenience.
Leave Remove Duplicates on for a unique list. Switch it off if each occurrence matters. With duplicates retained, turn on Show Frequency to see one row per value with its occurrence count.
Check each candidate against an authorized source of context. Use the result copy control for the displayed list; in grouped mode, copied rows include the count. The output does not include the original sentence or location.
For example, a fictional continuous 16-digit sequence in a sentence can appear as a candidate. The same digits with spaces or hyphens between groups will not be returned as one complete match. An adjacent letter or underscore can also affect the boundary test.
Use cases
See how the tool fits into real work and everyday tasks.
A QA analyst can paste invented records with repeated and one-off digit runs, then compare the unique list and frequency display with expected test results.
A team member with permission to inspect a masked or approved excerpt can use the matches as leads for a separate, controlled review. Each candidate still needs context-based classification.
A data steward can check whether a prepared sample contains uninterrupted long digit runs. This can reveal cases worth reviewing, but it does not establish that all sensitive values have been found.
Q&A
Find concise answers to common questions and confusing cases.
No. The tool checks only the run’s continuity, starting digit, and length. It performs no checksum or issuer lookup and cannot confirm issuance, account status, or ownership.
The matcher looks for a continuous digit run. Separators interrupt that run, so the formatted value is not returned as a single candidate. Do not remove separators from real data just to make it match in an unapproved workflow.
The pattern cannot infer what a digit string represents. Any unrelated continuous run meeting the same character and length conditions may be included; review context through an authorized process.
It is the number of times the same matched string occurs in the current input. It does not identify the locations of those occurrences or indicate that repetition is suspicious.
Notes
Review scope, result limitations, and important precautions before use.
Use fictional or masked examples whenever possible. Do not submit real card data unless your organization has approved this specific service and workflow for that data. The tool displays matched values and provides a copy action; this page makes no claim that input is private, stored nowhere, or suitable for regulated payment-data processing.
PCI Security Standards Council guidance says a primary account number (PAN) and related cardholder data must be protected in applicable environments. This simple text scan does not mask, redact, secure, or certify compliance for its input or output. Follow your organization’s approved controls for access, handling, and disposal. Read PCI SSC guidance on protecting cardholder data.
Because the pattern is intentionally broad, false positives are possible and other formats may be missed. Use results only as leads for a review with appropriate authorization; do not treat them as proof of a valid account, a complete audit, or a payment decision.
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