Text & writing · Updated 2026-10-04
Camel Case vs Snake Case vs Kebab Case
Programming and web conventions reuse English words inside identifiers that cannot contain spaces. Case styles pack those words into one token while staying readable.
The three styles
Same phrase, three casings
| Style | Example | Mechanism |
|---|---|---|
| camelCase | orderTotalAmount | Lower first word; capitalize later words; no separators |
| PascalCase | OrderTotalAmount | Capitalize every word; no separators |
| snake_case | order_total_amount | Lowercase words joined with underscores |
| kebab-case | order-total-amount | Lowercase words joined with hyphens |
Where you usually see them
- camelCase — variables and functions in JavaScript/TypeScript and similar languages.
- PascalCase — types, classes, and React components.
- snake_case — many Python identifiers, some database columns, JSON fields in certain APIs.
- kebab-case — URL slugs, CSS class names, and HTML custom-element names.
Conversion pitfalls
- Acronyms (HTTPServer vs http_server) need a consistent policy.
- Digits glued to words (mp3Player) can confuse naive splitters.
- Already-mixed input may need cleaning before a reliable conversion.
SmartKitio’s case converters transform text in the browser. They are helpers for renaming and drafting—not a full language-aware refactor tool.
Try these SmartKitio tools
Use a tool when you want a result; keep this guide open when you want the method.
- camelCase Converter
- snake_case Converter
- kebab-case Converter
- Uppercase Converter
- Lowercase Converter
- Title Case Converter
Browse family: Text Tools · Developer Tools
Related guides
- When to Use Different Text Cases
Practical guidance for title case, sentence case, upper case, and lower case in real writing.
- How to Clean and Normalize Text
Practical steps for trimming, removing empty lines, and preparing pasted text for reuse.
- Character Count vs Word Count
What each metric measures, how spaces and punctuation affect totals, and when to use which.
- Understanding Reading Time
How reading-time estimates are calculated, typical words-per-minute assumptions, and their limits.