Remove Text Watermarks Before You Share
U+2014 (Em Dash),U+202F (NNBSP), U+200B (Zero-Width Space), and U+2003 (Em Space)—in any text.What is an “Invisible Text Watermark” and why does it matter?
LLMs (large language models) can leave tiny markers—ambiguous characters like Em Dash (U+2014), or invisible Unicode spaces such as Narrow No-Break Space (NNBSP, U+202F), Zero-Width Space (U+200B), and Em Space (U+2003). They might look like normal spaces or hyphens but can affect text layout (e.g., preventing line breaks) or serve as hidden identifiers. Large blocks of text peppered with such traces can be a red flag for plagiarism detectors, search-engine spam filters, and eagle-eyed editors. This tool pinpoints the hidden characters and replaces them with ordinary spaces so your writing stays natural, searchable, and watermark-free.
Frequently asked questions
What are invisible Unicode spaces (e.g., NNBSP or Em Space) and why should I care about them in AI-generated content?
Invisible or ambiguous Unicode characters—like the Em Dash (U+2014), Narrow No-Break Space (NNBSP, U+202F), Em Space (U+2003), Zero-Width Space (U+200B), and others—can look like ordinary characters (like spaces or hyphens) yet manipulate line breaking, text width, or act as hidden watermarks. Newer AI models sometimes embed them as hidden watermarks. If left unchecked, these characters can reveal AI origin and trigger plagiarism or authenticity checks.
How does this tool help deliver watermark-free content?
This free tool scans your pasted text for 27+ common invisible or ambiguous Unicode characters used as watermarks (like Em Dashes, NNBSPs, ZWSPs, etc.). Detected characters are highlighted for review. You can then use the 'Remove Watermarks' button to replace the selected characters according to their defined behavior (e.g., replacing Em Dash U+2014 with a standard hyphen '-'), ensuring your cleaned copy is watermark-proof. For integrated watermark checks within an AI workflow, the main GetGPT platform incorporates similar features.
What tools can I use to detect invisible characters myself?
Besides our built-in Invisible Text Watermark Detector, you can paste text into editors like VS Code or Sublime Text and enable options like “Show invisible characters.” Online Unicode checkers can also pinpoint Em Dashes, NNBSPs, Em Spaces, Zero-Width Spaces, and other digital traces.
Why is removing invisible Unicode spaces important for privacy and academic integrity?
Hidden or ambiguous Unicode characters can act like a fingerprint linking text back to specific AI models. In academia, instructors may use watermark detection to flag AI-generated essays. In professional settings, unwanted metadata can undermine content authenticity or violate privacy policies.
Does live inspection change my original text?
No. Live inspection only highlights invisible or ambiguous characters in the preview area so you can visually confirm where hidden watermarks occur. Your source text in the input box remains unaltered.
What does the Clean button do?
Clean replaces or removes every detected invisible Unicode character according to its defined behavior, removing digital traces, and displays the sanitized version in the output box—ready for secure distribution.
How do I know how many hidden characters were removed?
After each inspection, this page displays a real-time count of special characters detected. If at least one invisible character is found, the Remove Watermarks button shows the total count of selected characters to be removed (e.g., “Remove Watermarks (4)”). If none are detected, a green confirmation message (“No watermark chars found”) is shown.