Text Cleaner
Clean and sanitize text by removing extra whitespace, special characters, URLs, and more.
What is Text Cleaning?
Text cleaning (or text sanitization) is the process of removing unwanted characters, formatting, and data from text. This is essential for data processing, AI training, and ensuring consistent text formatting.
Cleaning Options
- Trim Whitespace: Remove leading and trailing spaces from each line
- Remove Extra Spaces: Replace multiple spaces with a single space
- Remove Newlines: Remove extra blank lines or all line breaks
- Remove HTML Tags: Strip all HTML markup from text
- Remove URLs: Remove web addresses and links
- Remove Emails: Remove email addresses
- Remove Emojis: Strip emoji characters
- Remove Special Characters: Keep only letters, numbers, and basic punctuation
- Normalize Unicode: Convert accented characters to ASCII equivalents
Use Cases
- AI/ML Data Prep: Clean training data for machine learning models
- Web Scraping: Clean extracted text from websites
- Copy/Paste Cleanup: Remove formatting when pasting from documents
- Data Entry: Normalize user-submitted text
- Search Indexing: Prepare text for search engines
- Email Templates: Clean text before inserting into emails
AI Training Data Preparation
When preparing text data for AI models, cleaning is crucial for quality results:
- Remove HTML and formatting artifacts from scraped content
- Normalize whitespace for consistent tokenization
- Remove URLs and emails for privacy
- Strip emojis if your model doesn't support them
- Normalize Unicode for consistent character encoding
Privacy
All text processing happens locally in your browser. Your text is never sent to any server, ensuring complete privacy for sensitive content.