Case Converter

Convert text between uppercase, lowercase, camelCase, and more

Words: 0Characters: 0
Case Options

Case Converter

This tool lets you convert text between different letter casing formats instantly. You can transform plain text into uppercase, lowercase, title case, sentence case, or developer-friendly formats like camelCase, PascalCase, snake_case, and kebab-case with a single click.

Case conversion is often required when reusing text across different contexts β€” writing content, formatting headings, preparing identifiers for code, or normalizing user input. The converted output always reflects the currently selected case option and updates as soon as your input changes.

How the Conversion Works

The tool processes your text directly in the browser and applies deterministic transformation rules based on the selected case style. No characters are removed unless the chosen format requires restructuring words, such as when converting to camelCase or snake_case.

Because the conversion is purely client-side, your text never leaves your device. What you see in the converted output is exactly what the transformation rules produce β€” there is no hidden formatting, trimming, or normalization beyond what the selected case implies.

Case Options Explained

Each case option serves a slightly different purpose. Choosing the right one depends on where the text will be used.

  • UPPERCASE β€” Converts all letters to capital letters. Commonly used for emphasis, labels, or constants.
  • lowercase β€” Converts all letters to lowercase. Useful for normalization and comparisons.
  • Title Case β€” Capitalizes the first letter of each word, typically used for headings or titles.
  • Sentence case β€” Capitalizes the first letter of each sentence while keeping the rest lowercase.
  • camelCase β€” Removes spaces and capitalizes each word except the first. Common in JavaScript variables and function names.
  • PascalCase β€” Similar to camelCase, but the first letter is also capitalized. Often used for class or component names.
  • snake_case β€” Replaces spaces with underscores and uses lowercase letters. Common in databases and some programming languages.
  • kebab-case β€” Replaces spaces with hyphens and uses lowercase letters. Frequently used in URLs and file names.

Examples and Edge Cases

When converting text that contains punctuation or multiple spaces, the result depends on the selected case format. Simple casing options like uppercase or lowercase preserve spacing, while structural formats such as camelCase or snake_case restructure the text into word-based identifiers.

This means the same input text can produce very different outputs depending on whether the goal is readability (for humans) or consistency (for systems and code).

Who Should Use This Tool

Case conversion is a small but frequent task across many disciplines, especially when switching between writing and technical contexts.

  • Writers and editors formatting headings or titles
  • Developers preparing variable, function, or class names
  • SEO and content teams normalizing text
  • Anyone cleaning or reusing copied text

Related Concepts

Case conversion is often combined with other text cleanup steps before final use.

  • Removing extra spaces or line breaks
  • Counting words and characters
  • Sorting or restructuring text lines

If you’re cleaning text before converting its case, tools like the Remove Extra Spaces or Word & Character Counter can be useful alongside this tool.

Frequently Asked Questions

No. Case conversion only changes how letters are formatted. The underlying characters and words remain the same, except where formats like camelCase or snake_case restructure spacing.
No. All conversions happen locally in your browser. Your text is never uploaded or stored.
That depends on the language and convention. camelCase and PascalCase are common in JavaScript and TypeScript, while snake_case is often used in databases and Python code.
Hyphens are commonly used in URLs and file names because they are more readable and widely supported in web contexts.
Yes. The tool works in real time and can handle large text blocks, though very large inputs may depend on your browser’s performance.