Personal data redaction helper
Mask email addresses, phone numbers, IP addresses and chosen CSV columns before sharing an export.
This detects patterns, not people. Review the result for names, addresses, IDs and identifying context before sharing it.
Exports often contain identifiers that are irrelevant to the person receiving the file. This helper masks common email addresses, phone numbers, IPv4 addresses and card-like number sequences before you paste data into a ticket or share a sample.
Automated matching is deliberately presented as a first pass, not a guarantee of anonymisation. Names, postal addresses, unusual identifiers and context can still identify somebody, so review the result before sharing it.
Replacement happens locally
The text is transformed in your browser. Neither the original nor redacted result is uploaded.
Review remains essential
Pattern matching can miss personal data and can mask innocent text. Inspect the output and consider whether remaining context identifies anyone.
Frequently asked questions
Does this anonymise data?
Not necessarily. Masking direct identifiers is only one part of anonymisation, and combinations of remaining details may still identify a person.
Can I use it with CSV?
Yes. It preserves the surrounding CSV text while replacing matches inside it, but you should still validate the resulting file.
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