About

Copying content between different applications - like Word to CMS, or a PDF to code editors - often carries over unwanted artifacts. Hidden line breaks, zero-width spaces, and erratic indentation can break code or ruin layout consistency. This sanitizer is a Swiss Army Knife for raw text. It includes specific algorithms to strip HTML tags while preserving content, normalize whitespace, and extract structured data like URLs or Emails using pre-validated Regular Expressions. A strict "Privacy Mode" ensures no data leaves your local session.

Formulas

Text processing uses string replacement based on Regular Expression patterns.

f(S) = S.replace(pattern, replacement)

Example: To remove HTML, the pattern is /<[^>]*>/g.

Reference Data

Operation	Functionality	Example Input	Example Output
Strip Tags	Removes HTML/XML	<b>Hi</b>	Hi
Normalize Space	Single spaces only	Hello World	Hello World
CamelCase	Programming standard	User First Name	userFirstName
Extract Emails	RegEx Pattern Match	Contact [email protected]...	[email protected]
Deduplicate	Remove repeated lines	Line A Line A	Line A

Frequently Asked Questions

Yes. Pasting into this tool treats the clipboard content as "Plain Text" by default, discarding font colors, sizes, and bold/italic weights immediately.

There is no "Undo" button for the cleaning action itself. It is recommended to keep a backup of your original source before processing large blocks of text.

It scans the entire input text for strings matching standard email formats ([email protected]) and returns a list of unique email addresses found, discarding the rest of the text.

The limit is defined by your browser's memory, typically handling strings up to several megabytes (hundreds of thousands of words) without significant lag.