Prompt Obfuscator & Sensitive Data Scrubber
Scrub emails, phone numbers, IP addresses, credit cards, and personal names from prompts before sending to cloud LLMs with client side regex tokenization.
How to Use the Prompt Obfuscator & Sensitive Data Scrubber
- 1 Paste your raw draft prompt, corporate email, or meeting transcript into the input pane.
- 2 Select which sensitive data classes to redact: Email Addresses, Phone Numbers, IP Addresses, Credit Cards, or Names.
- 3 Copy the clean, anonymized prompt ready for ChatGPT, Claude, or Gemini without violating internal privacy policies.
Methodology & Algorithmic Standards
Executes specialized client side regular expression tokenizers to detect and replace Personally Identifiable Information (PII) with synthetic replacement tokens (e.g., `[EMAIL_1]`, `[PHONE_1]`, `[IP_ADDRESS]`). Zero network requests are made.
Frequently Asked Questions
Does any of my confidential text leave my browser? ▼
Never. All scrubbing happens locally using browser JavaScript regex engines. No telemetry or server calls exist.
Can the LLM still understand my context after scrubbing? ▼
Yes. Replacement tokens maintain logical sentence syntax so AI models can process the prompt accurately without accessing real private data.
Can I export the scrubbed text into Olevx Notepad? ▼
Yes. Click "Open in Notepad" to preserve your sanitized prompt in local storage.
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