Invisible Character Detector

Por que as pessoas usam esta ferramenta

Invisible Character Detector is built for copied text that looks normal on screen but behaves strangely in metadata, robots.txt files, forms, exports, and AI-assisted publishing workflows.

• Find zero-width spaces, non-breaking spaces, and direction marks in copied text before pasting it into SEO or CMS fields.
• Clean AI drafts, OCR output, PDF copy, and document exports that carry hidden Unicode into production workflows.
• Normalize smart punctuation and invisible formatting when a string fails validation, matching, or character limits.

Como usar

1. 1Paste the suspicious text into the detector.
2. 2Review the detected character types and the cleaned output side by side.
3. 3Copy the cleaned text into your metadata, document, config file, or publishing workflow.

Best practices

• Run copied text through the detector before placing it into strict fields like slugs, robots.txt, metadata, CSV exports, and form inputs.
• Use the cleaned version as your working copy instead of repeatedly pasting from the messy source.
• Check character count again after cleanup when the destination has a hard length limit.
• Keep smart punctuation only when it serves normal editorial copy and does not create downstream parsing risk.

Common mistakes to avoid

• Do not assume copied text is safe just because it looks normal in the editor.
• Do not paste AI or PDF text directly into technical files without checking for hidden characters first.
• Do not treat unexpected truncation, matching failures, or validation errors as visual bugs only.
• Do not flatten every Unicode character blindly if the content still needs valid language-specific punctuation.