Document Privacy Tools
Document Anonymizer
Automatically scan text documents for personal data and replace identified entities with labelled placeholders. Handles email addresses, phone numbers, URLs, IBANs, IP addresses, dates, and common name patterns โ preserving document structure while removing identifying details.
All processing happens locally in your browser. No data is uploaded.
Detection Rules
Detection Rules Explained
| Pattern | Example Input | Replaced With |
|---|---|---|
| Email Address | [email protected] | [EMAIL_1] |
| Phone Number | +44 7700 900123 | [PHONE_1] |
| URL | https://internal.company.com/path | [URL_1] |
| IPv4 Address | 192.168.1.100 | [IP_1] |
| IBAN | GB29 NWBK 6016 1331 9268 19 | [IBAN_1] |
| Card Number | 4111 1111 1111 1111 | [CARD_1] |
| US SSN | 123-45-6789 | [SSN_1] |
| UK Postcode | W1A 1AA | [POSTCODE_1] |
| US ZIP | 90210 | [ZIP_1] |
| Dates | 12/03/2024 or March 12, 2024 | [DATE_1] |
| Names (heuristic) | John Smith | [NAME_1] |