Before circulating a draft for review you often need to anonymise it, swapping identifying details for neutral labels while keeping the text readable.
Anonymize Text replaces emails, phone numbers, and long numbers with labels, and replaces any names or terms you list with a NAME tag.
How to use Anonymize Text
- Add the names or terms to anonymise, separated by commas.
- Choose which automatic patterns to replace: emails, phone numbers, or long numbers.
- Paste your text and copy the result with each match shown as a label.
Use cases
- Removing names from a document before circulating it.
- Anonymising a case note for sharing with a wider team.
- Swapping identifiers for labels in a sample dataset.
Good to know
Anonymize Text combines automatic detectors for emails, phone numbers, and long numeric strings with a names-and-terms list you provide. Listed terms are matched as whole words, case-insensitively, and replaced with a NAME label, while detected patterns become EMAIL, PHONE, and NUMBER labels. Because names are user-supplied, only the terms you add are replaced, and detection runs on your device.
Frequently asked questions
How does it know which names to remove?
It does not guess names. You list the names or terms to anonymise, and each is replaced with a NAME label as a whole-word, case-insensitive match.
What do the automatic toggles replace?
They swap detected email addresses, phone numbers, and long numeric strings for EMAIL, PHONE, and NUMBER labels.
Can it anonymise text inside an image or PDF?
No. It works on the text you paste; content inside images or PDF page graphics is not read.