Zero-Width Space Remover.

A zero-width space (U+200B) is a Unicode character defined to have no width and produce no visible output. It is used legitimately in typography to indicate allowable line-break points in languages that do not use spaces between words. In digital text contexts, it appears most commonly as an unintended artifact — a character that arrived in text via copy-paste from a web page, AI generation, or a text editor and should not be there.

Related zero-width characters include: - U+200C: Zero Width Non-Joiner — prevents character joining in certain scripts - U+200D: Zero Width Joiner — forces character joining (used legitimately in emoji sequences) - U+200E and U+200F: Left-to-Right Mark and Right-to-Left Mark — invisible directional indicators - U+202A through U+202E: Bidirectional embedding and override characters - U+2060: Word Joiner — prevents line breaks - U+FEFF: Zero Width No-Break Space / Byte Order Mark — often appears at the start of files

These characters cause concrete problems. They break search engine text extraction. They cause string matching failures in code. They inflate character and word counts. They trigger AI detection flags. They produce unexpected rendering behavior in certain browsers and document viewers. And they are among the primary invisible markers that AI detection tools use to flag AI-generated content.

Zero-width characters enter text through several common routes. Knowing the source helps understand why they appear so frequently in professional text workflows.

AI-generated content: ChatGPT and other AI models have been documented producing text with zero-width characters interspersed. Whether intentional watermarking or generation artifacts, the result is text that contains invisible characters throughout.

Web copy-paste: HTML pages sometimes include zero-width characters for typographic purposes or as tracking markers. When you copy text from a web page and paste it into a document or editor, these characters come along with the visible text.

Word processor exports: Some word processors (particularly certain versions of Word and LibreOffice) insert zero-width characters at word boundaries or around special formatting. When text is exported to plain text or HTML, these characters persist.

Translation software: Machine translation tools sometimes insert zero-width characters at segment boundaries or as alignment markers. Translated documents frequently contain invisible characters not present in the original.

CMS imports: Content management systems importing content from various sources often accumulate zero-width characters in the stored content, which then appear in exports, RSS feeds, and API responses.

This tool provides one-click removal of all zero-width and invisible Unicode characters. The process:

1. Paste your text into the input field. This can be text from any source — AI output, copied web content, word processor export, or anything else.

1. Click Clean Text. The tool iterates through every character in the string and removes any character whose Unicode code point matches the list of known zero-width and invisible characters.

1. The removed count shows how many invisible characters were found and stripped. A count of zero means the text was already clean. Any positive count shows how many characters were hiding in your text.

1. Copy the output. The visible text is identical — only the invisible characters are gone.

Technical note: The tool preserves standard whitespace (U+0020 regular space, U+0009 horizontal tab, U+000A newline, U+000D carriage return) and standard punctuation. Only explicitly invisible and zero-width code points are removed. Normal text formatting is not affected.

For developers, zero-width characters in code are a particularly insidious problem. Code copied from AI models, documentation websites, or Stack Overflow may contain invisible characters that appear harmless in an editor but cause syntax errors, unexpected string comparison failures, or variable name collisions at runtime.

Zero-width characters between the characters of a variable name create two visually identical strings that are not equal when compared. This is a known attack vector in security (homoglyph attacks on identifiers) but also appears accidentally in AI-generated code.

Search-and-replace operations fail when the search term contains visible characters but the actual string contains invisible characters between them. Regular expression patterns fail similarly. Unit test string comparisons fail on strings that look identical in output but differ in invisible characters.

This tool works on code as well as prose. Paste any string, including code snippets, function names, or configuration values, and the tool will remove invisible characters. The output can be safely used in any context where string equality matters.

Zero-width space removal is one component of preparing AI-assisted text for academic or professional submission. The invisible characters represent one detection vector among several.

AI detection platforms that explicitly scan for zero-width characters include those that report a "hidden character" or "formatting anomaly" finding alongside their AI probability score. Removing these characters eliminates that specific finding.

For academic integrity specifically: most academic institutions' AI detection policies focus on undisclosed use of AI for generation, not on detection of post-editing. If you have significantly rewritten, edited, or expanded AI-generated content, removing the original model's invisible fingerprints is a reasonable preparation step. If you have not rewritten the content, invisible character removal alone is not sufficient — the statistical writing patterns remain detectable.

This tool is also useful for checking submitted student work. Paste text into the tool and check whether invisible characters are present. Their presence is not conclusive evidence of AI generation (they can arrive from other sources) but is one signal worth noting.