Every time you paste text into an AI chatbot, you risk exposing personal information. Email addresses, phone numbers, SSNs, and API keys can end up in training datasets — or worse, in breach logs. Here's how to systematically remove PII before prompting.
Why PII in prompts is dangerous
Large language models like ChatGPT, Claude, and Gemini process your inputs on remote servers. Even with "no training" toggles, your text passes through infrastructure you don't control. If your prompt contains:
- Email addresses or phone numbers of clients
- Social Security Numbers or national IDs
- API keys (Stripe, AWS, OpenAI)
- IP addresses from server logs
- Names and physical addresses
...you've created a compliance liability. Under GDPR Article 6, processing personal data requires a lawful basis. Pasting someone's PII into a third-party AI almost certainly isn't one.
The manual approach (and why it fails)
You could Ctrl+F for patterns — but humans miss things. A junior developer might catch sk_live_ keys but miss an IBAN buried in a contract. A lawyer might redact names but forget the email signature at the bottom.
Manual review also doesn't scale. If you're processing 50 support tickets a day through AI, you need automation.
The automated approach: client-side redaction
CleanMyPrompt solves this by running entirely in your browser. No server uploads, no API calls. Here's the workflow:
Step 1: Paste your raw text
Drop your text into the input area. This could be a customer email, server log, legal document, or support ticket.
Step 2: Enable Auto-Redact
Toggle the "Redact PII" switch. The engine scans for:
- Emails, phone numbers, SSNs
- Credit card numbers and IBANs
- API keys (Stripe, AWS, GitHub, Google, Razorpay)
- IPv4 addresses
- Names (with honorifics) and street addresses
- Date patterns
Each match is replaced with a tagged placeholder like [EMAIL], [API-KEY], or [SSN].
Step 3: Review and copy
Check the output — the diff view highlights exactly what changed. Copy the cleaned text and paste it into ChatGPT with confidence.
What about names without honorifics?
Regex-based detection catches "Dr. Sarah Johnson" but might miss "Sarah Johnson" in plain text. For higher accuracy, enable NLP-based entity recognition (if available) which uses natural language processing to identify people, places, and organizations without relying on patterns alone.
Tips for enterprise teams
- Create a policy: Require all AI prompts to pass through a cleaning step
- Use the audit log: Export redaction records for compliance documentation
- Combine with VPN: Strip PII from content AND encrypt the connection
- Train your team: Share the
/tools/remove-pii-from-textdirect link
Try it now
Head to CleanMyPrompt and paste some sample text. Everything runs locally — verify by checking your browser's Network tab.