Masking sensitive details in text

Teams preparing to share text can hide emails, phones, IBANs and cards when those elements must be removed from the version being passed on.

Mask emails, phone numbers, IBANs and card numbers found in a text, preparing a version with those elements hidden before sharing.

How to use

  1. Paste the text that contains details to hide into the input area, or load a text, CSV, JSON, MD, XML, YAML or YML file if your draft is already saved.
  2. Run the main action so the tool scans the copy for email addresses, phone numbers, IBANs and card numbers.
  3. Compare the result area with the original to confirm every sensitive item was replaced and no useful sentence was removed.
  4. Copy the masked version for sharing, or clear both areas if you prefer not to leave the text visible in the browser.

Example

For instance, paste a customer message with a contact address, a phone number and a bank reference. After processing, review the output to see which patterns were replaced, then check names, postal addresses and internal identifiers manually because those categories are outside the stated detection scope.

Input

Hello, reach Marie at marie.dupont@example.com or 01 23 45 67 89. IBAN: FR76 3000 1007 9412 3456 7890 185. Card: 4111 1111 1111 1111.

Limits and formats

Where processing happens

The whole operation runs inside your browser, so the pasted text and any loaded file stay on your device. Nothing is sent to an outside service, and closing the tab clears what is displayed.

Frequently asked questions

Which details can be masked here?

The tool looks for email addresses, phone numbers, IBANs and card numbers. It does not advertise detection of names, postal addresses, birth dates or custom identifiers, so inspect those manually before you share the text.

Can I upload a PDF or a screenshot of text?

No, the picker takes text-based files and structured formats such as CSV, JSON, MD, XML, YAML or YML. For a PDF or image, extract the text elsewhere first, then paste it into the input area.

Is the final text completely anonymous?

It masks the patterns it recognises, but that is not the same as full anonymisation. Always review the final copy, especially when several small details could still identify a person when combined.

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