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Invisible Text Detector & Remover

Paste any text to instantly detect hidden Unicode characters, zero-width spaces, and invisible glyphs โ€” then remove them in one click.

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Input Text

Paste or type below

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Detected Characters

Invisible Unicode registry

U+200BZero Width Space
0
U+200CZero Width Non-Joiner
0
U+200DZero Width Joiner
0
U+200ELeft-to-Right Mark
0
U+200FRight-to-Left Mark
0
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Character Analysis

"Visible"
0
Invisible
0
# of Characters
0
# of Words
0

Breakdown

Letters & digits0
Normal spaces0
Punctuation0
Unicode specials0
Invisible / ZWS0

What this tool detects

Zero-width spaces, Hangul fillers, Braille blanks, soft hyphens, word joiners, and 20+ other invisible Unicode characters commonly embedded in text from social platforms, PDFs, and document exports.

Zero-width spaceHangul fillerBraille blankSoft hyphenWord joinerBOM marker

By using this tool, you agree to our Terms and Conditions and Privacy Policy.

How it works

Four simple steps to detect and clean invisible characters from any text.

1

Paste your text

Copy any text from a website, document, chat message, or social platform and paste it into the input box.

2

Instant analysis

The tool scans every Unicode code point and instantly counts visible characters, invisible characters, words, and more.

3

Review detections

The detected character list highlights exactly which invisible Unicode types were found and how many times each appears.

4

Remove with one click

Click 'Fix ONLY Invisible Characters' to strip hidden glyphs while keeping emoji and accented letters, or 'Fix ALL Unicode' for pure ASCII output.

Common use cases

Who uses the Invisible Text Detector โ€” and why.

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Content moderation

Detect invisible characters used to bypass keyword filters or AI content detectors in user-submitted text.

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Document cleanup

Remove stray Unicode control characters copied from PDFs, Word documents, or web scraping results.

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Gaming & chat

Identify blank usernames or empty messages that exploit invisible characters in Discord, PUBG, or WhatsApp.

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Security analysis

Uncover hidden text used in phishing attacks, homograph spoofing, or watermarked document fingerprinting.

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AI prompt hygiene

Strip zero-width characters that cause inconsistent tokenization or unexpected behavior in LLM prompts.

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Data preprocessing

Clean datasets and CSV files of invisible Unicode before feeding text into NLP pipelines or databases.

Frequently asked questions

Everything you need to know about using invisible characters.

Invisible characters are Unicode code points that render no visible glyph but still occupy space or affect text behavior. They are commonly inserted by social platforms, word processors, PDF exports, and copy-paste operations. Common examples include zero-width spaces (U+200B), Hangul fillers (U+3164), and byte-order marks (U+FEFF).