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Remove Invisible Characters from Text Online

Strip HTML tags, smart quotes, weird dashes, emojis and invisible characters from any text — with per-category counters, privately in your browser.

Processing... 0%
Scanning the pasted text
Detecting special characters
Applying the selected cleanups
Counting removed characters

Result

This page opens the text cleaner with invisible-character removal already enabled — paste the suspicious text, run the tool and get a copy with nothing hidden inside.

Zero-width spaces, zero-width joiners and non-joiners, BOM marks, soft hyphens and directional marks are invisible in every editor, yet they break string comparison, corrupt diffs, sneak into passwords and identifiers, and are a favourite trick for watermarking AI-generated text.

The counter tells you exactly how many hidden characters were found and removed — and if you need the opposite, our invisible text generator creates such characters on purpose. Both tools run entirely in your browser.

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Executed in Browser

Your files and inputs never leave this device. Processing runs completely offline. 100% Secure.

Accepted Formats & Rules

  • Seven independent cleanups: HTML tags, smart quotes, dashes, emojis, invisible characters, non-ASCII characters and extra whitespace.
  • Removes zero-width characters (ZWSP, ZWNJ, ZWJ, BOM, soft hyphen) that break search, diffs and AI-text detectors.
  • Converts curly and angled quotes to straight ones and long dashes to plain hyphens for code and CSV-safe text.

Key Benefits

✓ Complete privacy: the text is cleaned entirely in your browser and never sent to a server.
✓ Transparent result: a counter for every category shows exactly how many tags, quotes, emojis or hidden characters were removed.
✓ Honest options: the destructive non-ASCII filter is off by default and clearly warns that it deletes all non-Latin letters.

Use Cases

  • • Clean text copied from Word or Google Docs before pasting it into code, JSON or a CSV file: smart quotes become straight and long dashes become hyphens.
  • • Strip HTML tags from a scraped page or a rich-text e-mail and get plain readable text with entities decoded.
  • • Remove zero-width and other invisible characters from a suspicious snippet so string comparisons, diffs and searches work again.