Prompt Anonymizer

Replace real entities in prompts with realistic synthetic equivalents

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Prompt anonymizer

Pasting a prompt with real names, emails, and account numbers into an AI tool hands that data to a third party. The prompt anonymizer swaps each real entity for a realistic synthetic equivalent — and crucially, it does so consistently: the same person always becomes the same fake name. The model keeps all the context it needs to help you, but never sees the real values. A mapping lets you translate the answer back afterwards.

How it works

The tool scans your text for entities — emails, phone numbers, two-word capitalized names, URLs, IP addresses, card-like numbers, and company names — and assigns each a stable synthetic replacement drawn from a fixed pool. A real value seen again reuses its earlier replacement, so relationships and references survive. You get the anonymized prompt plus a real-to-fake mapping. Everything runs locally in the browser; nothing is uploaded.

Tips and notes

  • Review the output. Heuristic detection can miss unusual formats or over-match ordinary phrases — check before you paste.
  • Keep the mapping. You need it to translate the AI’s response back into your real entities.
  • Consistency is the feature. Stable replacements preserve the logic of your prompt far better than random masking.
  • Not certified de-identification. For regulated data, follow your organization’s approved redaction process instead.
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