Clean sensitive data out of any text before pasting it into ChatGPT, Claude, or Gemini. Detects emails, phone numbers, cards, API keys, SSN, Aadhaar, PAN, IPs and more, replaces them with reversible placeholders, and rehydrates the AI reply back to the real values. 100% on-device.
About this tool
AI Context Prep & PII Anonymizer is a free, 100% on-device tool that removes sensitive data from any text before you paste it into ChatGPT, Claude, Gemini, or any other AI assistant. It detects emails, phone numbers, credit and debit cards (validated with the Luhn algorithm), US SSNs, India Aadhaar and PAN, IP and MAC addresses, IBAN and bank numbers, JWTs, and common cloud API keys, then replaces each value with a stable, reversible placeholder so the anonymized text stays coherent for the model. A private mapping table lets you paste the AI’s reply back and instantly restore the original values, on your own machine. Detection, redaction, scoring, and restoration all run in your browser, so your text and secrets are never uploaded, logged, or stored.
Drop in the text, logs, or code you want to share with an AI assistant, or import a .txt/.md/.log/.json file.
Choose a compliance profile (GDPR, HIPAA, PCI-DSS, Secrets, or Everything). The inline preview highlights every detected value by severity.
Copy the redacted output and paste it into ChatGPT, Claude, or Gemini. The model gets the structure and meaning, not the private values.
Paste the assistantu2019s response back into the Rehydrate panel to swap placeholders for the real values, entirely on your device.
Every operation runs in your browser. Nothing is uploaded, logged, or stored, so even secrets and regulated data stay safe.
Stable placeholders keep meaning intact for the AI and let you restore the original values from the AI response in one click.
Emails, phones, cards, SSN, Aadhaar, PAN, IPs, IBANs, JWTs, and cloud API keys, plus your own custom terms.
Strip PII and credentials before using ChatGPT, Claude, or Gemini to stay aligned with GDPR, HIPAA, and company policy.
Trusted by students, businesses, legal teams, and healthcare professionals worldwide.
Anonymize customer conversations before using AI while preserving the context needed to write accurate replies.
Example: Paste a support thread, automatically redact names, emails, phone numbers, and order details, then prepare the cleaned context for AI.
Clean stack traces, configuration dumps, and error logs by removing secrets, tokens, IPs, and other sensitive data.
Example: Paste a 400-line server log and automatically detect and replace API keys, passwords, tokens, hostnames, and personal data before sharing it with AI.
Prepare sensitive health, financial, or business records for AI analysis by identifying and anonymizing personally identifiable information.
Example: Drop in a document, detect names, addresses, account details, and other sensitive fields, then generate an anonymized version for AI processing.
Protect confidential project information, client names, employee details, and proprietary data while keeping the original context useful to AI.
Example: Add project codenames, client names, and custom sensitive terms to automatically anonymize them throughout your AI prompt.
Get the most out of our tool with these expert recommendations.
Automatic detection catches common PII, but edge cases can slip through. Review the highlighted output before sharing it with an AI tool.
Realistic replacement values preserve the structure and meaning of your data, helping AI reason naturally without exposing the original information.
Logs and configuration files can contain API keys, tokens, passwords, and random-looking secrets that standard PII rules may miss.
If you use reversible anonymization, the mapping between original and replacement values can reveal the protected information.
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A deep, practical playbook: how PII detection actually works, why reversible pseudonymization beats plain masking, how to map redaction to GDPR/HIPAA/PCI, and how to build a safe local AI workflow that never leaks a secret.
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