Seotoolsdesk.com
Instant convert • Copy / Export TXT

Case Converter

Paste text — convert to lowercase, UPPERCASE, Title Case, sentence case, toggle case, slug, snake_case, camelCase, or PascalCase.

Input text
Options

Output

chars: 0 • words: 0 • lines: 0
Tip: Use slug-case for URLs, camelCase for variables, and Title Case for headings.

Quick interpretation

Case conversion helps make content consistent across titles, URLs, and code-style naming.

  • Title Case for headings and labels
  • Slug case for clean URLs and filenames
  • Toggle only for quick fixes (rarely needed)
Text formatting

Case Converter: standardize text in one click

Different platforms need different case styles: titles, slugs, and code naming. This converter helps you switch formats instantly — without sending data anywhere.

Popular uses

  • Title Case for blog titles and UI labels
  • Slug case for URL-safe text
  • camelCase / PascalCase for variables and identifiers

FAQ

Does this case converter upload my text?

No. The conversion runs in your browser — the text is not sent to the server.

What is the difference between Title Case and Sentence case?

Title Case capitalizes words for headings, while Sentence case lowercases most text and capitalizes the first letter of each sentence.

When should I use slug-case (kebab-case)?

Use slug-case for URL slugs and filenames: it replaces spaces with dashes and removes most punctuation, producing clean, readable strings.

What’s snake_case used for?

snake_case is common in programming (variables, identifiers) and for stable keys in data formats. It uses underscores instead of spaces.

camelCase vs PascalCase — what’s the difference?

camelCase starts with a lowercase letter (myVariable), while PascalCase starts with an uppercase letter (MyVariable).

What does “Toggle case” do?

It flips letter case: lowercase becomes uppercase and uppercase becomes lowercase. It’s mostly useful for quick fixes when text is accidentally typed with the wrong case.

What do the options “Normalize spaces” and “Trim each line” change?

Normalize spaces collapses repeated spaces/tabs into single spaces. Trim each line removes leading and trailing spaces on every line.

Will this work with non-English text?

Yes, it generally works with Unicode letters. Results depend on language-specific rules (for example, Title Case nuances), but basic transformations and word-splitting are designed to support non-English characters.