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sTRING-Slug logo: A vibrant green slug with googly eyes, symbolizing text transformation, alongside glossy 'STRING' text, representing the free slug generator and case converter tool with a modern UI.

sTRING-Slug: Generate URL Slugs, Convert Text Cases, Transliterate

Paste any text and sTRING-Slug transforms it into a clean URL slug, camelCase, Title Case, or reverses like "camelCase" to "camel case". Includes instant real-time text transformation, multilingual transliteration, stopword and symbol removal, URL encoding/decoding, multiline mode, copy/paste hotkeys, and a modern clean UI. Preferences are saved for your next visit. Works on any device, and ensures data privacy with no server-side storage. Free online tool, no use limits or sign-ups. Perfect for developers, SEO professionals, and content creators.

Input

characters: 0|
words: 0|
lines: 0

Output

characters: 0|
segments: 0|
lines: 0

Options

General
Input
Output

Core Features

sTRING-Slug is a fast, usability-focused tool designed to transform any text into clean URL-slugs, variable names, uniform titles, and a variety of other formats and cases. It’s the perfect companion for SEO specialists, developers, and content creators like content managers and copywriters.

Designed for Usability

Real-Time Text Transformation

No delays, no "Generate" buttons to click. Output updates instantly as you type into the Input field or adjust settings, real-time results make text transformation quick and effortless. Results are instantly ready to be copied to the clipboard for further use.

Multiline Mode

Transform multiple lines of text simultaneously, treating each line as a separate input.

Input:
  About Us
  Contact Page
  John Doe and Jane Doe

Output:
  about-us
  contact-page
  john-doe-and-jane-doe

Ideal for batch renaming or formatting lists.

Case Conversion & Formatting

Transliteration & Stopword Removal

Cleanup & Filtering Options

URL Encoding & Decoding

Productivity Shortcuts

Fully Client-Side & Private

Your data stays secure:

Transform Any Text with Ease

In summary, sTRING-Slug is a powerful, user-friendly tool that simplifies text transformation tasks. From creating clean URL slugs to formatting variable names or sanitizing text, it delivers fast, reliable results without compromising privacy. Whether you’re an SEO pro, developer, or content creator, sTRING-Slug streamlines your workflow in seconds.

Input

The Input panel is where your text transformation begins—where you enter the source text to be processed.

Color Coding

The Input panel uses a distinctive blue color scheme that contrasts sharply with the green Output panel. This deliberate color coding creates a clear, intuitive visual hierarchy, guiding you to the correct area for input.

Think of it this way: blue is in, green is out. Clear, quick, and impossible to mix up.

Input Area

The core of the Input panel is a spacious, resizable, multiline editable input area where you can type or paste your source text for conversion into slugs, code, variables, or other formats.

Input Placeholder

When empty, the input area displays a static placeholder: “The quick brown fox jumps over the lazy dog.” This placeholder is dynamically transformed in the Output panel based on the current Options, providing a live preview of how your text will be transformed before you even start typing.

Reset

Need a fresh start? A convenient Reset button in the title bar clears the input area with a single click, eliminating the need to manually select and delete text. This feature streamlines your workflow for quick resets.

Statistics

A sleek statistics bar above the input area provides real-time information about your input, displaying the count of characters, words, and lines. When the input area is empty, the statistics display zeros to keep the interface clean and informative.

Paste Button

A prominent blue Paste button, located to the right of the input area (at the bottom on mobile), lets you instantly transfer text from your clipboard with a single click—no manual typing needed. This feature is especially convenient on mobile devices, where large, accessible buttons enhance usability. The Paste button replaces the entire content of the input area with the clipboard text.

Paste Hotkey

For desktop users, the Ctrl + V or Cmd + V hotkey (depending on your operating system) provides a fast way to paste text. This hotkey works globally across the page, allowing you to paste into the input area without focusing on it.

However, it’s intelligently designed. If you’re typing in the input area or another field, the global hotkey is ignored so that you can continue working in text or number fields as usual. If no input field has focus, the paste hotkey replaces the entire contents of the input field with the text on the clipboard.

Spellchecking Input

Output

The Output panel is the main focal point of the sTRING-Slug application—where your transformed text instantly appears, ready for immediate use in your projects.

Color Coding

The Output panel uses a distinctive green color scheme that contrasts sharply with the blue Input panel. This deliberate color coding creates a clear, intuitive visual hierarchy, helping you instantly distinguish between input and output areas.

The color-coded approach in sTRING-Slug is simple and effective: paste in blue, copy from green. No confusion. No missteps.

Output Area

At its core, the Output panel features a spacious, resizable, multiline, read-only area that displays the transformed text based on the current Options. This area is programmatically populated. You can directly select text from this area and copy it to your clipboard.

Live Output

As you type in the Input panel or adjust settings in the Options panel, the Output panel automatically updates with the transformed text—providing real-time feedback during your text transformation journey. No need to click "Generate" or "Refresh"—the output is instant and always reflects your latest input and settings.

Output Placeholder

When the Input panel is empty, it shows a static placeholder: "The quick brown fox jumps over the lazy dog". The Output area takes this placeholder, applies the currently selected Options, and dynamically displays the transformed result as an output placeholder. This provides an interactive preview of how your text will be transformed before you even start typing. You can change the Options to see how the placeholder text would look with different settings. Think of it as an interactive hint.

Empty Output

Sometimes the output might be empty—for example, if you over-sanitize your input. Say you enter "123" only and enable the Remove Numbers option. The input technically isn’t empty, so not placeholder will be displayed, but the output ends up with nothing. In such cases, the app will display a message: No output generated. Check your Input and Options. This message appears in the output area, which will also be outlined in red. As the message suggests, you may need to adjust your input or selected options to produce a valid output.

Statistics

A sleek statistics bar above the output area provides real-time information about your transformed text, showing the number of characters, words, and lines. When the output area is empty (e.g., no input provided), the statistics display zeros to keep the interface clean and informative.

Copy Button

A prominent green Copy button—located to the right of the output area (or at the bottom on mobile)—lets you instantly copy the transformed text to your clipboard with a single click. This feature is especially useful on mobile devices, where large, accessible buttons improve usability. The Copy button captures the entire content of the output area.

Copy Hotkey

For desktop users, the Ctrl + C or Cmd + C hotkey (depending on your operating system) offers a fast way to copy the output text. This hotkey works globally across the page, so you can copy the output content even if the area doesn’t have focus. But, if you have selected some text, the hotkey will copy only the selected text, not output area content.

Pipeline

Text transformation happens in a specific order — a pipeline. You don’t need to memorize the technical flow, though. Just follow the order of Options as they appear in the UI: left to right, top to bottom.

For example, in the blue Input options groupe: if URL Decode comes first, followed by Input Words Separator, and after a few more options ends with Transliterate, the transformations will be applied in that same order — for all enabled options. The same logic applies to the Output settings groupe. Naturally, Output options are applied after Input ones. So the full pipeline is: InputOutput.

The only exception is the General settings group, like Multiline option — is not specific to Input or Output, and affects both stages.

When you select multiple options, you combine the effects of all the selected options, applying them one by one in pipeline order.

General Options

The General group of Options controls the overall behavior of the sTRING-Slug app. These settings are not specific to input or output alone but influence the app’s operation at a high level — for example, whether the text is processed as a single block or line-by-line for both input and output.

Multiline

When this option is enabled, each line of input is treated as a separate string. The same transformation is then applied to each line individually, and the results are output on separate lines.

For example, with the input:

Hello, world!
How are you?

If Multiline is off, the app treats the input as one string and transforms it like this:

hello-world-how-are-you

If Multiline is on, each line is processed separately:

hello-world
how-are-you

This is useful when you want to transform multiple strings at once — for example, in a list. Think of it as a "bulk mode" for sTRING-Slug.

Input Options

The Input group of Options controls how your text is processed before it’s transformed into a different format or case by the Output group of Options in the pipeline. Think of it as a "sanitization" stage. These settings clean and prepare the input by handling special characters, detecting word boundaries, and applying transliteration when needed. Whether you’re working with plain text, file paths, or messy data from URLs or forms, these options help you ensure your text is properly sanitized for accurate subsequent transformation.

URL Decode

When enabled, this option decodes URL-encoded characters in your input text. It converts percent-encoded sequences back to their original characters.

For example:

"Hello%20World" → "Hello World"
"Caf%C3%A9"     → "Café"
"Test%26More"   → "Test&More"

This is useful when processing URLs, form data, or any text that contains URL-encoded characters.

Input Words Separator

This option defines how the sTRING-Slug app identifies word boundaries in the input text. It determines which characters or patterns act as dividers to split the text into individual words before further transformations.

Available separators:

Remove Special Characters

When enabled, this option removes all non-alphanumeric characters from the text, keeping only letters and numbers.

For example:

"Hello, World!"     → "Hello World"
"Test@#$%^&*()"     → "Test"
"Product-Name_v1.0" → "ProductNamev10"

This is useful for creating clean, URL-friendly slugs without special characters.

Remove Numbers

When enabled, this option removes all numeric characters (0-9) from the text.

For example:

"Product123" → "Product"
"Version2.0" → "Version."
"Test2023"   → "Test"

This is useful when you want to focus on the text content and ignore version numbers or other numeric identifiers.

Remove Stop Words

Stop words are common words in a language, such as articles, prepositions, and pronouns, that are frequently removed during text processing. These words, like "the," "a," "and," "is," and "in," often carry little semantic value and appear frequently, which can obscure core text meaning.

When the Remove Stop Words option is enabled - sTRING-Slug filtered them out from the input text based on the selected language, resulting in cleaner, more focused output.

For example:

"The quick brown fox" → "quick brown fox"
"This is a test"      → "test"
"How to make bread"   → "make bread"

Stop Words Language

The Stop Words Language option is tightly related to the Remove Stop Words option. It specifies which language's stop word dictionary to use when the Remove Stop Words feature is enabled. This is essential because stop words are language-specific, and a word may be a stop word in one language but meaningful in another.

Available languages include (but not limited to):

Removing stop words reduces text noise, allowing focus on meaningful words. This is particularly useful for creating concise URL slugs, file names, or preparing text for search engine optimization (SEO) and text analysis tasks.

Transliterate

Transliteration is the process of converting text from one writing system (alphabet or script) to another, typically aiming to represent the pronunciation of the original text as closely as possible. It focuses on mapping characters from one script to their corresponding or similar-sounding characters in another script, rather than conveying meaning.

When the Transliterate option is enabled, sTRING-Slug converts characters from one writing system to another, typically from non-Latin scripts to Latin characters. It can also be used to convert emoji-like characters to their corresponding Latin meaning.

For example (with English (Auto) as the target locale):

"Café"  → "Cafe"
"Björk" → "Bjork"
"Антон" → "Anton"
"% & ♥" → "percent and love"

This is useful for creating URLs and slugs that work well across different systems and character encodings.

Transliterate As

The Transliterate As option is tightly related to the Transliterate option. It specifies the target locale for transliteration when the Transliterate option is enabled.

Available locales: Bulgarian, Danish, Dutch, French, German, Italian, Norwegian, Portuguese, Spanish, Swedish, Ukrainian, Vietnamese.

Language locales should not be confused with supported transliteration languages. The Transliterate As option is a list of languages that use the same or shared alphabet as other supported languages, but some letters' pronunciation is different. Sometimes very different. So transliteration results may differ depending on locale, even when the same characters are used.

For example:

As Ukrainian: "будинок" → "budynok" (sounds right)
As Russian:   "будинок" → "budinok" (sounds gibberish)

This is because the Cyrillic letter "и" is pronounced "i" in Russian, but closer to "y" in Ukrainian. What's interesting, though, is that in Russian, the similar sound corresponds to the letter "ы" → "y", while in the Ukrainian alphabet, "ы" does not exist at all.

Output Options

The Output group of Options panel - controls how your text is transformed after all sanitization is done by the Input options group. These settings handle the actual transformation — such as applying word-aware output limits, shaping case styles, adding prefixes and postfixes, or applying final URL encoding after all transformations are done.

At this stage, your input has already been normalized: special characters removed, word boundaries defined, and, more importantly, words clearly separated by a single space between each.

Character Limit

The Character Limit option restricts the maximum number of characters in the sanitized string before it’s shaped by the Formatting Style text transformer. If the result exceeds this limit, it will be truncated. The minimum allowed character limit is 3. If you enter a value lower than 3, app will automatically increase it to 3. Whitespace, tabs, and all visible characters are counted.

For example:

Input:  The quick brown fox jumps over the lazy dog
Output: The quick brown fo

Options: Character Limit: 18

As you can see, the word "fox" is truncated to "fo", based purely on character count, regardless of word boundaries.

Preserve Words

When the Preserve Words option is enabled, the app avoids cutting words (segments) when applying the character limit. The output will be truncated at the last whole word that fits within the limit. If the last word would be truncated, like in the example above, it is not included in the output, and the output ends with the previous whole word.

For example:

Input:  The quick brown fox jumps over the lazy dog
Output: The quick brown

Options: Character Limit: 18 | Preserve Words: On

As you can see, since the word "fox" would be truncated, it is not included in the output, which ends with the previous word "brown", totaling 15 characters in the output.

If the input (raw or after sanitization) is a single word and Preserve Words is enabled, the word will be included in full (never cut) even if it exceeds the Character Limit, to satisfy the Preserve Words option.

Input:  The quick
Output: quick

Options: Remove Stop Words: On | Character Limit: 4 | Preserve Words: On

In the example above, the word "The" is removed because the Remove Stop Words option is on, but the word "quick" is included in full, despite being longer than the 4 characters set in the Character Limit option, because Preserve Words is on.

This is especially useful for user-facing text like SEO meta descriptions that appear in search results, UI elements such as button text or headlines that appear in the app UI, or content previews — where clean, unbroken wording maintains clarity and a polished look.

Formatting Style

The Formatting Style is the main core of sTRING-Slug app. It defines how your input text is transformed—whether you need a URL slug, a variable name for code, a blog post title, or many other essential use cases covered by this tool.

The names of all formatting styles in the Formatting Style dropdown list mirror their output format, so you can instantly preview how the text will look. For example, SCREAMING_SNAKE_STYLE shows exactly what screaming snake case produces. For easy navigation, styles are grouped by purpose: No Style Formatting, SEO, Development, Writing, and Special:

No Style Formatting

"Hello     World 123    4" → "Hello     World 123    4"

Leaves the input text untouched in terms of extra formatting — no case transformation or whitespace normalization is applied. This mode is ideal when you want to apply sanitization features like Remove Special Characters, Remove Stop Words, or URL Encode from the Input group of Options without altering the original text layout structure.

Think of it as a pass-through mode that preserves all original spacing, including spaces, tabs, and newlines, while allowing prior sanitization to clean up the content as needed.

"Hello     World 123    4" → "Hello World 123 4"

Works the same as As Is (Raw), but with an additional sanitization step: it normalizes spacing. This means collapsing extra spaces, tabs, and newlines into single spaces, and trimming leading and trailing whitespace characters as well.

Use this when you want to sanitize and clean up messy spacing in the input while still avoiding any additional text style formatting.

SEO

"Hello World 1234" → "hello-world-1234"

All words lowercase, separated by hyphens. Most commonly used to convert titles into slugs for SEO-friendly URLs or generate image filenames from alt texts. Ideal for creating readable, user-friendly links and filenames for articles, products, blog posts, and more.

"Hello World 1234" → "hello_world_1234"

Lowercase with underscores between words. A great alternative to kebab case for URL-friendly naming or database keys.

"Hello World 1234" → "hello/world/1234"

Lowercase with forward slashes between words. Useful for file paths or nested route URLs.

Development

"Hello World 1234" → "helloWorld1234"

First word lowercase, subsequent words capitalized, no separators. Standard for JavaScript variable names.

"Hello World 1234" → "HelloWorld1234"

Each word capitalized, no separators. Perfect for class or type names in programming.

"Hello World 1234" → "HELLO_WORLD_1234"

Each word uppercase, with underscores between words. Often used for global scope constants in code.

"Hello World 1234" → "hello.world.1234"

Lowercase with dots between words. Great for configuration file names (e.g., .env.development.local), nested JavaScript object keys (e.g., user.profile.name), database fields (e.g., order.item.quantity) to ensure clear, hierarchical naming.

"Hello World 1234" → ["hello", "world", "1234"]

Words separated by commas and spaces, wrapped in double quotes, enclosed in square brackets. It is ideal for generating JSON-safe arrays of data structures in code or API payloads.

Note: Double quotes ( " ) in the input are replaced with single quotes ( ' ) to maintain valid JSON syntax.

Writing

"Hello World 1234" → "Hello World 1234"

Each word capitalized, separated by spaces. Perfect for blog post titles or article headlines.

"Hello World 1234" → "hello world 1234"

All letters lowercase, separated by spaces. Great for normalizing body text in articles, search-friendly keywords, or text processing pipelines needing consistent case.

"Hello World 1234" → "HELLO WORLD 1234"

All letters uppercase, separated by spaces. Ideal for bold headings, UI labels (e.g., SUBMIT FORM), or constant names in documentation.

Special

"HeLLo WoRld 1234" → "hEllO wOrLD 1234"

It flips the case of each letter — lowercase becomes uppercase and vice versa. It's great for adding a quirky, eye-catching twist to text in memes, social media posts, or playful designs.

"Hello World 1234" → "HELLO-WORLD-1234"

Each word uppercase, with hyphens between words. Originally from legacy programming environments, this bold style works perfectly for technical documentation, retro aesthetics, warning labels, branding, or any situation requiring maximum visibility and impact.

"Hello World 1234" → "Hello-World-1234"

Each word capitalized, separated by hyphens. Creates a distinctive, train-like chain of words for unique naming needs.


Explore different styles to find what suits your project. Use SEO styles for URLs, Development styles for code, Writing styles for readable text, or Special styles for creative cases. Switch styles freely—your original text stays safe!

Prefix & Postfix

The Prefix and Postfix adds a strings at the beginning and at the end of the sanitized and formatted output,respectively. Both add exactly what you input in those fields as is, without any formatting, so you’re free to add any characters, and they will not be sanitized or transformed. The Prefix string is prepended and the Postfix string is appended after the input string, that is sanitized by all Input group of options and transformed by Formatting Style text formatter.

In a simple terms it look like this: "prefix string" + "transformed input string" + "postfix string".

The only exception is the URL Encode option, which, in the pipeline, comes last and will be applied to the prefix, postfix, and transformed input string.

Usage Examples

File Naming

Input:  Blog Post Title
Output: blogPostTitle.md

Options: Formatting Style: camelCase | Postfix: .md

This is useful for content creators, creating file names, like for blog posts or documentation files.

Namespacing a CSS Class

Input:  short description
Output: .product__short-description--featured

Options: Formatting Style: kebab-case | Prefix: .product__ | Postfix: --featured

This is handy for frontend developers generating CSS class names with consistent naming conventions, like BEM (.block__element--modifier), SMACSS and so on, for clear and scalable stylesheets without name clashes. It’s especially useful when you need to generate multiple such classes for your CSS files.

Declaring an Array from a List of Items

Input:  red green blue
Output: const colors = ["red", "green", "blue"];

Options: Formatting Style: ["quoted", "array", "style"] | Prefix: const colors = | Postfix: ;

This is great for generating code snippets, like JavaScript array declarations, directly from a list of items.

Naming Git Branches

Input:  Implementing dark mode toggle
Output: feature/ui-implementing-dark-mode-toggle-2025

Options: Remove Special Characters: On | Formatting Style: kebab-case | Prefix: feature/ui- | Postfix: -2025

This is great for generating detailed Git branch names, for example, that include both a feature scope and a year or version for context.

The possibilities are endless — let your imagination run wild!

URL Encode

Encodes the output string so it can be safely used in URLs. Special characters are replaced with url-safe percent-encoded equivalents.

"hello world!" → "hello%20world!"
"Café"         → "Caf%C3%A9"
"Test&More"    → "Test%26More"

This is useful for generating slugs or strings that will be used as part of a URL.

About

Why I Built It

I've been using online URL slug generators for a long time, primarily to create clean, URL-friendly names for image files, Git branch names, and other assets in my web projects.

For a long time, I relied on an online tool from another developer. It was the best of many clones, but even that one was frustrating to use or me: the UI was confusing, and overall usability was minimal. Eventually, I decided to build a tool that actually feels comfortable and efficient for my own needs.

UI Frustrations That Sparked It

One of my biggest frustrations was always having to press a “Generate” button just to see results. Another was the unclear interface—I always repeatedly had to guess where to paste the input and where to copy the output from. That’s actually why I introduced color coding: blue for Input, green for Output. It’s a small detail at a first glance, but it makes a really big difference.

Originally, I brainstormed this tool as a basic URL slug generator—just for kebab-case—but with a cleaner UI and better usability as I liked it. But I quickly realized I could expand it with more essential features and go far beyond a simple “kebab-caser.”

Going Beyond Slugs

For example, I added language-aware transliteration. I often needed to transliterate Cyrillic sentences, but most slug generators didn’t differentiate between Cyrillic languages, where the same letters may be pronounced differently. This resulted in inaccurate output. I wanted something smarter.

Another realization came from my experience as a developer. I often needed to rename variables based on naming conventions. Here’s a common example from my code:

function myFunction() {
  const mySuperDuperCoolVariable = '';
  ...
}

Sometimes I’d move that variable to a broader (block) scope, where I use SCREAMING_SNAKE_CASE by convention:

const MY_SUPER_DUPER_COOL_VARIABLE = '';

function myFunction() {
  ...
}

Sure, it’s not hard to rename things manually. And yes, I use copilots like Cursor or Desktop ChatGPT. But in practice, I often ended up doing this renaming by hand—and when you have lots of such changes, it becomes error-prone and time-consuming. So I added features to sTRING-Slug that let me instantly convert mySuperDuperCoolVariable to MY_SUPER_DUPER_COOL_VARIABLE—just two clicks: paste, copy, done!

Why sTRING-Slug?

The name sTRING-Slug reflects the tool’s core purpose and versatility. It’s fundamentally a text transformation tool that works with strings, converting them into various formats. At its heart, it’s a URL slug generator, creating clean, web-friendly outputs like kebab-case. The unique casing in the name—sTRING-Slug—mirrors the tool’s ability to flexibly transform text into different formats and naming conventions. It’s a nod to the tool’s power to reshape texts.

The result is sTRING-Slug: a fast, intuitive, and versatile tool I built for myself and share with you. Whether you’re a developer renaming variables, an SEO specialist crafting clean URLs, or a content creator formatting text, I hope you find sTRING-Slug as valuable as I do.