Features
Text analysis
The utility displays real-time statistics for your input text:- Characters: Total number of Unicode code points in the text
- Unique Characters: Count of distinct characters (useful for detecting character set issues)
- Words: Number of space-separated words
- Lines: Count of line breaks in the text
- Size: Byte size of the UTF-8 encoded string with automatic formatting (B, KB, MB)
All statistics update automatically as you type, providing instant feedback on your text.
Case conversion
Convert text between common naming conventions used in programming:- lowercase: Converts all characters to lowercase
- UPPERCASE: Converts all characters to uppercase
- camelCase: Converts text to camel case (first word lowercase, subsequent words capitalized)
- snake_case: Converts text to snake case (words separated by underscores)
- kebab-case: Converts text to kebab case (words separated by hyphens)
Use cases
Variable naming
Quickly convert between naming conventions when refactoring code or working across different programming languages:Content analysis
Analyze text content before processing:- Check character counts for validation rules
- Verify word counts for content requirements
- Monitor file size for upload limits
- Detect unique character sets in multilingual content
Data formatting
Prepare text data for different systems:- Convert database column names between conventions
- Format API request/response field names
- Standardize configuration file keys
- Clean up user input text
The byte size calculation uses UTF-8 encoding, which is the standard for web applications and most modern systems.
Text statistics explained
Character count vs. byte size
The character count shows Unicode code points, while byte size shows the UTF-8 encoded size. For ASCII text, these are equal, but for special characters or emojis, the byte size will be larger:- ASCII character ‘A’: 1 character, 1 byte
- Unicode character ‘é’: 1 character, 2 bytes
- Emoji ’😀’: 1 character, 4 bytes
Unique characters
The unique character count is useful for:- Detecting if text contains unexpected characters
- Validating character set requirements
- Analyzing text complexity
- Finding hidden whitespace or control characters