Text Formatter Tool
What You Can Do
The Text Formatter Tool automatically formats text by converting line breaks, whitespace, and full-width/half-width characters. Perfect for formatting copy-pasted text and data cleaning. All processing happens in your browser, so no data is sent to servers.
- ✅ Line Break Conversion: Convert between CRLF and LF for cross-OS compatibility
- ✅ Whitespace & Blank Line Processing: Remove consecutive spaces, trim whitespace, and delete blank lines
- ✅ Full-width ⇄ Half-width Conversion: Convert alphanumeric characters and katakana, sort lines, and remove duplicates
Batch process line break conversion, whitespace removal, and full-width/half-width conversion.
📝 Text Input
✨ Formatted Result
⚙️ Formatting Options
💼 Use Cases
- Format copy-pasted text - Clean up text extracted from web pages or documents
- Standardize full-width/half-width - Normalize character types for data preprocessing
- Prepare lists - Add symbols at the beginning of lines for list creation
- Batch convert upper/lowercase - Standardize English text notation
- Remove duplicate lines - Perfect for data cleaning and organization
How to Use
📌 Basic Usage
Enter text and click the formatting option button you want to apply. The formatted text will be displayed in the result area.
💡 Line Break Conversion
- CRLF → LF: Convert Windows format (\r\n) to Unix/Mac format (\n)
- LF → CRLF: Convert Unix/Mac format (\n) to Windows format (\r\n)
⚙️ Whitespace Processing
- Remove All Spaces: Delete all half-width and full-width spaces
- Trim Whitespace: Remove whitespace from the beginning and end of each line
- Normalize Spaces to One: Collapse consecutive whitespace to one space
- Remove Blank Lines: Delete all empty lines
🔤 Full-width ⇄ Half-width & Use Cases
Supports half-to-full, full-to-half, and katakana conversions. Perfect for cross-OS file conversion, data cleansing, CSV file formatting, and programming text preparation.
📚 Text Formatting Technology & Mechanisms
Full-width/Half-width Character Code Mechanism
Full-width/half-width character conversion uses the relative position of Unicode character code values. There is a fixed offset value (0xFEE0) between half-width alphanumeric characters (ASCII: 0x0021-0x007E) and full-width alphanumeric characters (Unicode: 0xFF01-0xFF5E).
- Half → Full Formula: Full-width code = Half-width code + 0xFEE0
- Full → Half Formula: Half-width code = Full-width code - 0xFEE0
- Katakana Conversion Complexity: Half-width katakana has independent dakuten/handakuten characters, requiring a mapping table to correspond to single full-width katakana characters
Line Break Standards & Compatibility
Different operating systems use different line break representations. This can cause issues during file migration or system integration, making proper conversion important.
- CRLF (Carriage Return + Line Feed): Windows (\r\n). Clearly marks line endings, offering high compatibility with legacy systems
- LF (Line Feed): Unix/Linux/macOS (\n). Simple and efficient, the standard for modern systems
- CR (Carriage Return): Classic Mac OS (\r). Rarely used today
Regular Expression Patterns & Applications
Regular expressions are powerful tools for text formatting. Here are the main patterns used in this tool.
- /\r\n/g: Detects all CRLF. Global flag (g) targets all matches
- /[\s ]+/g: Detects consecutive half-width spaces, full-width spaces, tabs, and line breaks
- /[!-~]/g: Detects half-width alphanumeric and symbols (ASCII 0x21-0x7E range)
- /[！-～]/g: Detects full-width alphanumeric and symbols (Unicode full-width range)
Practical Use Cases for Text Formatting
This tool is useful in many scenarios. Here are specific examples to understand its value.
- Data Import Preprocessing: Before importing to databases or spreadsheets, standardize character codes, spaces, and line breaks to ensure data quality
- Cross-platform Compatibility: When using text files created on Windows on Mac/Linux, convert line breaks to LF
- Web API Response Processing: Normalize text retrieved from external APIs that contains unexpected character codes or spaces
- User Input Cleaning: Remove leading/trailing whitespace and duplicate lines from text submitted via HTML forms
- Log File Analysis: Remove duplicate lines from multi-line logs and extract only necessary data
- Natural Language Processing Preprocessing: Normalize text to a unified format before morphological analysis or text mining
Would you like to share your feedback? (Optional)