Use Cases
Why use an email extractor?
Use this tool when plain text logs, support notes, console output, or mixed message
blocks need to be shared without exposing raw personal information first.
- Mask emails, IP addresses, MAC addresses, tokens, and sensitive text values
- Redact common PII patterns in plain text and log snippets
- Keep masking local to the browser instead of sending logs to a backend
- Useful for support, debugging, incident review, and AI prompt preparation
Masking Logic
How this email extractor finds addresses in text
Mask Payload checks common sensitive field names when they appear in text, then applies
pattern-based masking for emails, phone numbers, IP addresses, MAC addresses, and
similar values embedded in plain text.
- Key-aware masking for log lines like
token=... or password: ...
- Pattern-based masking for plain text emails, IPs, phones, and MAC addresses
- Readable output with copy/download options for clean handoff
Privacy Detail
Does this email extractor upload data?
This tool runs as a static browser page. It processes plain text in client-side
JavaScript in the current tab. No form submission, fetch request, XMLHttpRequest, or
masking API call is used during the masking flow.
- No form submission is used for the masking flow.
- No
fetch, XMLHttpRequest, or API call runs during masking.
- The page uses local JavaScript parsing and regular expressions in the current tab.
- The text is only written back to the output field unless you copy or download it yourself.
- The masking flow does not store the payload in browser local storage.
FAQ
Who should use an email extractor?
Does this tool upload text anywhere?
No. The masking runs entirely in the browser on the current page.
Can I add custom masking fields?
No. This page extracts email addresses directly from text, so custom masking fields are not needed for the main workflow.
Who is this tool for?
Mask Payload is for support teams, operations teams, analysts, and anyone who needs to pull email addresses out of mixed technical text quickly.
Why email extraction can be useful during review
Sometimes teams need to quickly identify what contact addresses are present in support notes, logs, exports, or pasted text before deciding what to share or clean.
A plain text anonymizer helps teams clean up logs before they are shared with vendors,
AI tools, ticketing systems, or incident review docs, reducing avoidable privacy and
security mistakes.