Special characters sneak into text from many sources — PDF exports, web scraping, rich text editors, social media, and data imports. Removing them is often the first step before further processing.

What Counts as a Special Character

The Remove Special Characters tool strips everything except letters (a-z, A-Z), numbers (0-9), spaces, and basic punctuation (periods, commas, semicolons, quotes, parentheses, hyphens, underscores, slashes). That means symbols like ©, ®, ™, §, ¶, emoji, and Unicode decorative characters are all removed.

Common Sources of Special Characters

Text copied from PDFs often brings invisible control characters and bullet symbols. Web scraping pulls in HTML entities and encoded characters. Social media text is packed with emoji and decorative Unicode. Data exports from CRMs and databases may include encoding artifacts. And rich text editors like Word and Google Docs inject smart quotes, em dashes, and non-breaking spaces.

How to Use It

Paste your text into the Remove Special Characters tool above and click Run. The output keeps only standard ASCII characters plus basic punctuation. If you also need to fix whitespace after stripping characters, chain it with the Normalize Whitespace tool using the pipeline feature.

When Not to Use It

If your text intentionally contains accented characters (like résumé, café, or naïve), this tool will strip the accents. For multilingual text, consider using Normalize Whitespace instead, which fixes spacing without removing non-ASCII letters.

Pipeline Suggestions

For data cleaning workflows: Remove Special Characters → Normalize Whitespace → Remove Duplicate Lines. This gives you clean, deduplicated data ready for import.