Anonymize text by replacing personal names, addresses, phone numbers, and emails with placeholder tokens.
This tool takes a block of pasted text and swaps the personal details in it (names, addresses, phone numbers, and email addresses) for placeholder tokens, leaving the rest of the wording intact so the result still reads like the original. Because it runs entirely in the browser, nothing you paste is uploaded, which makes it a quick way to scrub a conversation before sharing it. The thing people most often get wrong is assuming the output is fully anonymized: the scan replaces what it recognizes, and it cannot see every possible way a detail can be written.
The tool scans the pasted text for the four categories in their common written forms: email addresses, phone numbers, street addresses, and people's names. Every recognized value is replaced with a placeholder token. Anything the scan does not match, including the words and punctuation between the values, is left exactly as written, so the result stays readable as a normal piece of text with the specific details taken out.
Recognition depends on the text matching the written forms the scan expects, so unusual formats (a phone number written out as words, an international address layout, a misspelled email) can stay in the output. So can anything outside the four categories: usernames, dates, and account numbers pass through unchanged. The tool only replaces strings it recognizes as one of the four types.
No. The tool runs entirely in the browser, and nothing you paste is uploaded. That does not make the whole chain invisible: the input text stays on screen in the page, and copies may linger in your clipboard or browser history, so close the page and clear those when you are done with sensitive material.
No, not under a strict definition. Replacing values with tokens is what the GDPR calls pseudonymisation: the details the scan found are gone, but the tokens could in principle be linked back, and anything written in an unusual format survives untouched. For data that truly cannot be re-identified, review the output yourself, delete or generalize what remains, and only then rely on it.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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