Sensitive Data Redaction

Check text for emails, phone numbers, names, and other sensitive details before sharing it, then review a redacted copy locally in your browser.

Category

Text Tools

How to Use

  1. Paste the text you need to inspect
  2. Use rule-based redaction or enable GLiNER ONNX/WebNN enhancement
  3. Review detected emails, phone numbers, names, addresses, and other entities
  4. Copy the redacted result and manually review high-risk output

Examples

  • Redact contact details

    Input: Alice email is alice@example.com and phone is 13800138000

    Output: [PERSON] email is [EMAIL] and phone is [PHONE]

  • Rules first

    Input: Order note includes an ID number and phone number

    Output: Rules detect high-confidence fixed formats before model-assisted entity detection

FAQ

Is text uploaded?
No. Text is processed in the browser; model mode also prioritizes local ONNX/WebNN inference.
Can I use the output as a compliance guarantee?
No. Treat it as an assistant. Manually sample high-risk data and confirm the required handling for your jurisdiction.
What is the difference between rules and the model?
Rules work well for fixed patterns such as email, phone, and ID numbers. The model is better for context-dependent names, organizations, and places.

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