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What it does
The PII Redactor scans pasted text for seven kinds of personal data — email addresses, phone numbers (international formats), IPv4 and IPv6 addresses, US Social Security numbers, credit card numbers, and ISO dates ( checksumchecksumA short digest computed from a block of data, compared after transfer or storage to detect corruption. Changing one bit changes the checksum.YYYY-MM-DD) — and masks each one with a token of your choice. Every candidate passes a structural check before it counts: IPv4 octets must be 0-255, card numbers must pass the Luhn 999.999.999.999, version strings like v1.2.3.4, clock times, and Luhn-invalid digit runs are all left alone. Everything runs 100% client-side — the text never leaves your browser.
How to use it
- Paste or type text into Input (or hit Sample to load an example with every PII type).
- Watch the Detected panel: each item is highlighted inline with a colored badge — blue for Email, purple for Phone, orange for IP, red for SSN and Card, gray for Date.
- Toggle any PII type off (or on) with the chips to scan for exactly what you care about — counts update live.
- Pick a mask —
[REDACTED],███,***, or your own Custom string. - Copy the redacted output, or click the eye to peek back at the original.
Examples
Support ticket
Input: Reach me at jane.doe@example.com or +1 (555) 123-4567. Server 192.168.1.100 was slow on 2026-08-16. → 4 items found, output: Reach me at [REDACTED] or [REDACTED]. Server [REDACTED] was slow on [REDACTED].
Only mask emails
Same text with every toggle off except Email → only jane.doe@example.com is masked; phone, IP, and date pass through untouched.
Card numbers must be Luhn-valid
4111 1111 1111 1111 (a valid Visa test number) is detected and masked; 1234567890123456 is left alone.
Good to know
- Private: all detection is local regex +
checksumchecksumA short digest computed from a block of data, compared after transfer or storage to detect corruption. Changing one bit changes the checksum.
work — nothing is transmitted or stored. - Heuristic, not legal: the detector finds data-shaped patterns; it cannot judge context or guarantee compliance with GDPR/CCPA on its own. Always review the output before sharing.
- Overlaps resolve sensibly: when one span could be two types (a date also looks like a phone number), the more specific type wins.
- Related tools: Credit Card Validator (the same Luhn check, in depth), Defang/Refang.