Detect and mask email addresses, phone numbers, IP addresses and card numbers found in text.
Paste your text into the input area.
Run the tool to process your text.
Copy or download the result.
This simple operation runs directly in your browser.
With Mask sensitive data in text, keep the review focused on the exact change this tool makes rather than treating the output as a complete rewrite. . The tool focuses on one specific operation so you can change or analyse text without adding unrelated steps. Check names, numbers and technical strings separately.
With Mask sensitive data in text, keep the review focused on the exact change this tool makes rather than treating the output as a complete rewrite. Enter or paste your text, then review the result shown by the tool. For important text, compare the output with the original before copying or reusing it.
With Mask sensitive data in text, keep the review focused on the exact change this tool makes rather than treating the output as a complete rewrite. Check the details that matter for your use case: names, numbers, punctuation, links or formatting depending on the text. Automation helps with one task, but a final review is still useful.
With Mask sensitive data in text, keep the review focused on the exact change this tool makes rather than treating the output as a complete rewrite. Cleaning tools remove or normalise selected elements without intentionally rewriting the rest of the content. Mask sensitive data in text is most useful when you want to apply this operation to text
With Mask sensitive data in text, keep the review focused on the exact change this tool makes rather than treating the output as a complete rewrite. Check names, numbers and technical strings separately. If the content contains names, numbers or technical strings, check those separately before keeping the resulting version.
Learn how to use our tools with our detailed guides.
Reduce disclosure risk before sharing text by identifying personal and confidential data, replacing what is necessary and performing a human review.
Clean text containing personal information by defining what must be removed, checking detected patterns and reviewing contextual identifiers.
Before public sharing, check personal data, confidential information, links, file names, visible metadata and contextual clues that may reveal more than intended.