Can text tools process long documents?
The word counter can handle longer text, while case conversion and slug generation are best for shorter labels and titles.
Text Tools
Small text transformations show up everywhere in development: field names, filenames, headings, slugs, metadata, docs, release notes, and content snippets. These tasks are easy to do manually once, but repetitive and error-prone when you do them all day.
The text tools category focuses on practical browser utilities for naming and content work. Convert between common case formats, turn a title into a clean URL slug, and count words, characters, sentences, paragraphs, and lines. The tools are intentionally simple and fast so they fit into editing workflows without becoming a heavy writing environment.
These utilities are useful for developers, technical writers, SEO work, documentation maintenance, and frontend content cleanup. They keep the original input visible and provide copyable results so you can move the output back into your editor, CMS, or codebase.
Tools
Existing URLs remain active, and new tools are organized under clean category paths.
Convert text between camelCase, PascalCase, snake_case, kebab-case, title case, uppercase, and lowercase.
Open toolGenerate clean SEO-friendly URL slugs from titles, headings, and plain text.
Open toolCount words, characters, sentences, paragraphs, and lines in browser-based text.
Open toolConvert names between camelCase, snake_case, and kebab-case.
Generate readable URL slugs for guides or docs.
Check word and character counts for page content.
Clean up copied headings and labels.
8 min read
Good slugs are short, descriptive, lowercase, hyphen-separated, and stable enough to preserve links over time.
8 min read
Different systems prefer different naming conventions. Knowing the common case formats makes APIs and code easier to keep consistent.
9 min read
Good slugs are short, readable, lowercase, hyphen-separated, and stable after publishing.
9 min read
camelCase is common in JavaScript and JSON APIs; snake_case is common in Python, databases, and many backend systems.
9 min read
kebab-case uses lowercase words separated by hyphens, which makes it useful for slugs, CSS classes, and readable file names.
9 min read
Text normalization makes equivalent-looking text easier to compare, search, store, and convert into stable identifiers.
9 min read
Regex helps match text patterns, but reliable use starts with small patterns and clear test cases.
9 min read
Regex bugs often come from patterns that match too much, too little, or take too long on unexpected input.
9 min read
Input validation checks whether data meets expected rules before the application trusts or processes it.
9 min read
Email validation should catch obvious mistakes without pretending a regex can prove an address can receive mail.
The word counter can handle longer text, while case conversion and slug generation are best for shorter labels and titles.
A slug is the readable part of a URL path, usually lowercase and hyphen-separated.
It depends on the API style guide. camelCase and snake_case are both common.
The tools are designed for client-side processing and do not require login or storage.