Data Masking Tool: Mask Emails, Phones & Card Numbers | Free

A Email addresses, phone numbers (US format), credit card numbers (16 digits), and SSN/ID numbers (XXX-XX-XXXX format).

A Yes, all processing happens locally in your browser. No data is sent to any server.

A Yes, you can use any single character like *, X, #, or _ for masking.

A Yes.

A Even though this is a browser-based text tool, you can easily mask data from a CSV. Simply open your CSV file in a text editor or spreadsheet program, copy the column or rows containing sensitive information, paste them into the tool's input area, and click mask. The anonymized text can then be copied back into your CSV or used as needed for testing or sharing. This ensures your PII is protected.

A Data masking permanently replaces sensitive information like emails or credit card numbers with realistic, non-sensitive substitutes, making the original data irrecoverable. It's ideal for creating safe test environments, sharing datasets for analytics, or any scenario where actual PII is not required. Encryption, conversely, transforms data into an unreadable format that can be reversed with a key, primarily for secure storage or transmission when the original data must eventually be accessed.

A Yes, you can run already-masked text through the tool again. It will only replace unmasked patterns, leaving existing masks untouched. For example, if you have "j***@domain.com", the tool won't re-mask the asterisk. This is useful when combining data from multiple sources. Just paste and click mask.

A Right now it only catches US format numbers like (555) 123-4567 or 555-123-4567. International formats with country codes or different digit groupings won't trigger masking. If you're working with non-US data, a quick workaround is to normalize numbers into a US-like pattern first. For example, strip the country code and add dashes. The tool will then mask them fine. This limitation is common among browser-based maskers that rely on simple pattern matching.