DevVerse

Text Cleaner

Clean and format your text by removing extra spaces, special characters, HTML tags, and other unwanted elements

Cleaning Options

2 selected

Try Example Texts

Original Text

0 words0 characters1 lines

Cleaned Text

0 words0 characters1 lines
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Cleaning Options Reference

Extra Spaces
Remove multiple consecutive spaces and tabs
word word → word word
HTML Tags
Strip all HTML markup and tags
<p>text</p> → text
Special Characters
Remove punctuation and symbols
text!@# → text
Line Breaks
Normalize line endings and empty lines
Multiple\n\n\nlines → Clean lines
URLs & Emails
Remove web addresses and email addresses
Visit www.site.com → Visit
Numbers
Filter out all numeric characters
text123 → text

Cleaning Features

Remove extra spaces and tabs
Clean up line breaks and empty lines
Strip HTML tags and markup
Remove URLs and email addresses
Filter out numbers and punctuation
Normalize whitespace characters
Batch processing options
Real-time text analysis

About Text Cleaner Tool

Our Text Cleaner tool is a powerful, free online utility that helps clean messy text by removing unwanted characters, extra spaces, HTML tags, and formatting issues. Perfect for content creators, developers, and anyone working with text data that needs cleanup.

Whether you're cleaning text copied from PDFs, removing HTML markup, or normalizing whitespace, this tool provides comprehensive cleaning options with real-time processing and detailed statistics to show exactly what was cleaned.

Key Cleaning Features:

  • Extra Spaces: Remove multiple consecutive spaces and normalize whitespace
  • HTML Tags: Strip all HTML markup, tags, and attributes
  • Line Breaks: Normalize line endings and remove empty lines
  • Special Characters: Remove punctuation, symbols, and unwanted characters
  • URLs & Emails: Filter out web addresses and email addresses
  • Numbers: Remove all numeric characters from text
  • Custom Options: Combine multiple cleaning options for precise control

Common Use Cases:

  • Cleaning text copied from PDFs with formatting issues
  • Removing HTML markup from web content
  • Preparing text for data processing and analysis
  • Normalizing content for databases or APIs
  • Cleaning user-generated content
  • Preparing text for natural language processing
  • Converting formatted documents to plain text