Text Anonymizer & PII Scrubber
Redact emails, phone numbers, credit cards, and IP/MAC addresses from pasted text
Redaction rules
1 found
3c:22:fb:aa:bb:cc
1 found
2001:0db8:85a3::8a2e:0370:7334
1 found
192.168.1.1
1 found
4111 1111 1111 1111
1 found
+1 (555) 123-4567
1 found
6 total redactions applied
How the Text Anonymizer works
This tool scans pasted text for common personally identifiable information (PII) patterns — email addresses, phone numbers, credit card numbers, IPv4/IPv6 addresses, and MAC addresses — and replaces each match with a configurable placeholder mask like [EMAIL] or [PHONE]. Toggle any category off if you want to keep that type of data untouched, or customize the mask text per category (for example, swapping [CARD] for <redacted>).
Detection uses regular expressions tuned to reduce false positives: credit card candidates are verified with the Luhn checksum (the standard mod-10 algorithm real card numbers must satisfy) before being redacted, and phone numbers require a plausible digit count. Matching runs in a defined order — MAC, IPv6, credit card, IPv4, then phone — so a value can't be double-matched by an unrelated rule.
Everything happens instantly in your browser as you type. No text is ever uploaded or sent anywhere, which makes this safe to use on real logs, support tickets, or customer data before sharing them in a bug report, chat, or public forum.
Private & free — this tool runs entirely in your browser.