Remove personal information (PII) from text
Paste text and the personal data in it — emails, phone numbers, cards, IBANs, sort codes, postcodes, SSNs, IPs, API keys — is detected and replaced with neutral tokens, so you can share the result safely. It runs entirely in your browser — nothing you paste is uploaded.
Need to share logs, a support transcript or a document without the personal data in it? Paste the text and the sensitive values are detected and replaced with neutral tokens, so you can share or store the result safely. It runs on your device — the original text is never uploaded.
What counts as PII?
The detector finds emails, phone numbers, credit-card numbers (validated with the Luhn checksum to avoid false hits), IBANs, UK sort codes and account numbers, BIC/SWIFT codes, postcodes, US Social Security numbers, IP addresses, API keys and common ID numbers — the identifiers that most often need removing before text is shared.
How accurate is the detection?
Card numbers must pass a checksum, IBANs a mod-97 check and SSNs their allocation rules, so the results aren’t flooded with false positives. When two patterns overlap, the more specific one wins, so a card is never mislabelled as a phone number.
Can I get the original values back?
Yes — the same tool can put the real values back later using an in-browser token map, which is handy when you’re round-tripping text through another system (like an AI assistant) and need the originals returned.
FAQ
Is the text uploaded to be scanned?
No. Detection runs entirely in your browser; the text you paste never leaves your device.
Will it catch everything?
It reliably catches structured identifiers (emails, numbers, keys) and names that appear with a title or label (“Mr …”, “Account Name: …”). An arbitrary unlabelled name in free text, or a street address, is not detected yet — remove those manually.
Is it free?
Yes, completely — and there’s no sign-up for the on-device tools.
Ready to try it? It runs entirely in your browser — your file is never uploaded.