Case Converter
Convert text between nine different cases instantly. Useful for developers needing camelCase or snake_case, writers needing title case, and anyone cleaning up inconsistent text.
Frequently Asked Questions
When should I use camelCase versus snake_case?
The choice is largely language-convention driven. JavaScript and Java conventionally use camelCase for variable and function names (e.g., getUserData, firstName), while Python uses snake_case (e.g., get_user_data, first_name) as specified in PEP 8. Database column names often use snake_case (user_first_name) for readability in SQL queries. CSS class names typically use kebab-case (button-primary, nav-wrapper) because hyphens are natural in CSS selectors. The key is consistency within a project — mixing conventions in the same codebase creates confusion, especially for teams. Most style guides and linters enforce whichever convention the project adopts.
What is the difference between Title Case and Sentence case?
In Title Case, every significant word starts with a capital letter — articles (a, an, the), prepositions (in, on, of), and short conjunctions (and, but, or) are typically lowercase unless they're the first or last word. Example: "The Benefits of Cloud Computing for Small Businesses." In Sentence case, only the first word and proper nouns are capitalized — the rest is lowercase. Example: "The benefits of cloud computing for small businesses." Sentence case is more common in digital content and UI text because it reads more naturally, while Title Case is traditional for formal headings and book titles.
How do I convert PascalCase back to readable text?
To convert PascalCase or camelCase to readable text, insert a space before each uppercase letter that follows a lowercase letter (UserProfileSettings → User Profile Settings). Most code editors can do this with regex find-and-replace: find ([a-z])([A-Z]) and replace with $1 $2. This tool's lowercase and sentence case modes handle this splitting automatically when you paste PascalCase text — the output will separate the words correctly. This is useful when generating documentation from code, converting enum values to display labels, or extracting readable names from database column identifiers.