Text Anonymizer & PII Scrubber

About the Text Anonymizer and PII Scrubber

The rise of artificial intelligence has totally changed how we work. Millions of developers, marketers, and support agents paste raw logs, emails, and code snippets into tools like ChatGPT or Claude every single day to get help. But this presents a massive security risk. Pasting text that contains real Personally Identifiable Information (PII) violates privacy laws and exposes your company to severe data breaches. We built the Text Anonymizer and PII Scrubber so you can easily sanitize and mask sensitive data before sharing it online.

Unlike basic tools that just look for specific words, our scrubber uses a highly advanced, client-side Regex Engine. It scans raw, unstructured text files and automatically detects patterns. Whether your text contains a hidden credit card number, a customer email address, a social security number, or a secret API authentication token, our engine finds it. It then securely overwrites the sensitive text with a placeholder, ensuring that the original context of the message remains intact while the actual private data is destroyed.

One of the most popular features of this tool is the Dynamic Masking capability. Instead of replacing everything with a generic [REDACTED] stamp, our tool replaces emails with [EMAIL] and phone numbers with [PHONE]. This is incredibly helpful when writing prompts for AI, because the LLM still understands exactly what type of data was supposed to be there. Best of all, your privacy is completely guaranteed. All text scanning and redaction happens locally inside your web browser. We never upload your text or logs to an external server.

Key Features

• Intelligent Pattern Detection: Automatically scans and finds Emails, Phone Numbers, Credit Cards, SSNs, IP Addresses, MAC Addresses, and API Tokens.
• Dynamic Placeholders: Intelligently replaces data with contextual tags (e.g., [EMAIL] instead of just ***) which is perfect for AI prompting.
• Works on Raw Text: You do not need structured JSON or CSV data. Paste a massive, messy server log or chat history, and the tool will scrub it flawlessly.
• Multiple Masking Styles: Choose between dynamic placeholders, static [REDACTED] tags, or asterisk masking.
• 100% Private Processing: Everything happens on your machine locally. Your sensitive text is never sent to our servers.

How to Scrub PII From Text

• Paste your raw text, log file, or chat history into the "Input Text" box on the left.
• Use the toggle switches to choose exactly which types of data you want to redact (e.g., turn off IP addresses if you need them visible).
• Select your preferred replacement style from the dropdown menu. We highly recommend "Dynamic" for AI prompting.
• The tool will automatically scan your text and generate the safe, anonymized result in the right-side box.
• Check the green status message to see exactly how many pieces of sensitive information were successfully removed.
• Click the "Copy" button to safely paste your scrubbed text into ChatGPT, Slack, or GitHub.

Frequently Asked Questions

What is a PII Scrubber?

A PII (Personally Identifiable Information) scrubber is a security tool that scans raw text to find and remove sensitive data. It uses pattern matching to locate emails, passwords, credit card numbers, and other private details, overwriting them so the text can be safely shared publicly or sent to an AI assistant.

Is it safe to paste real customer data into this tool?

Yes, absolutely. We engineered this tool to operate 100% on the client-side using local web technologies. Your raw text data never leaves your computer, and we do not use backend servers to process your files. Your sensitive information remains strictly on your own device.

Can I use this tool to sanitize ChatGPT prompts?

Yes! In fact, this tool was specifically designed for that exact use case. By selecting the "Dynamic" mask style, the tool replaces real emails with the tag [EMAIL]. This ensures the AI still understands the structure and context of your prompt without actually reading the sensitive data.

What types of data can this tool detect?

Our advanced regex engine currently detects Standard Email Addresses, International Phone Numbers, Major Credit Card Formats (Visa, Mastercard, Amex), Social Security Numbers (SSNs), IPv4 and IPv6 Addresses, MAC Addresses, and common API Tokens (like JWTs and Bearer tokens).

Why does the tool sometimes miss a phone number?

Phone numbers are notoriously difficult to detect because there is no single global standard for how they are formatted. People use spaces, dashes, periods, and parentheses randomly. Our engine catches 95% of standard formats, but if you have a highly unusual string of numbers, you should always double-check the final output before sharing.