F
FreeConvertingTools

Free Slug Generator Online

Convert any text to a URL-friendly slug. Handles special characters and unicode.

FreeNo SignupAPI Available

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How to use the Slug Generator

  1. 1

    Open the Slug Generator tool

  2. 2

    Enter your data or upload your file

  3. 3

    Adjust settings if needed

  4. 4

    Get instant results

  5. 5

    Download or copy your output

Available as API

Integrate this tool into your app.

View documentation

Frequently asked questions

Is the Slug Generator free?

Yes, our slug generator is 100% free with no limits, no signup, and no watermarks.

Do I need to create an account?

No. You can use the slug generator without any registration. Just open it and start using it.

Is my data safe?

Yes. Any files you upload are automatically deleted after 5 minutes. We never store, share, or access your data.

Does this work on mobile?

Yes. The slug generator is fully responsive and works on phones, tablets, and desktops.

Is there an API for this?

Yes. All our tools are available as API endpoints for developers. Check our API documentation for details.

A slug generator turns any string of text — a blog post title, a product name, a forum thread subject — into the short, lowercase, hyphen-separated string that appears in a URL after the domain. Type "10 Best Coffee Makers for Small Kitchens!" into the input and it comes back as 10-best-coffee-makers-for-small-kitchens: no punctuation, no spaces, no capital letters, ready to drop straight into a CMS permalink field or a static site route. This page covers exactly how that conversion works, why lowercase hyphenated slugs became the web's default convention in the first place, and where generating one automatically beats typing a URL by hand.

How the Slug Generator Works

The tool is a single text field with a live output directly below it — there's no submit button, because the slug updates on every keystroke. Here's what happens as you use it:

  • Type or paste your title into the input box at the top. As you type, the slug preview below updates immediately, showing the URL-safe result character by character.
  • Pick a separator. Three buttons switch between a hyphen, an underscore, and a period; hyphens are selected by default because search engines and most CMS platforms treat them as word boundaries, while underscores are often read as one unbroken string instead of separate terms.
  • Toggle transliteration on or off. With it on, accented letters such as é, ñ, and ü are swapped for plain-ASCII equivalents (é becomes e, ñ becomes n) before the rest of the cleanup runs, so a title like "Café del Mar" becomes cafe-del-mar rather than dropping the accented letters outright.
  • Toggle lowercase on or off, and optionally set a maximum length if slugs need to stay under a specific character budget for a database column or a length guideline.
  • Click the copy button next to the result to grab it instantly, and check the running character count shown alongside it. A recent-slugs panel keeps your last ten generated results so you can click back through them without retyping the source text, plus a clear button to wipe that history.

Because everything runs client-side, the tool doubles as a scratchpad for testing edge cases — long titles, titles with emoji, titles mixing several scripts — before committing to a URL structure for a real page. For anyone building this behavior into a CMS, a publishing pipeline, or a bulk import script instead of typing titles in one at a time, the same slug logic is exposed as an API endpoint, documented at /docs, so the conversion can run server-side against hundreds of titles in a single pass rather than one browser tab at a time.

Why You Need Clean URL Slugs

Slugs matter more than they look like they should, mostly because of what happens when one is generated poorly or skipped entirely:

  • Blog and article URLs. A post titled "Why Remote Work Isn't Going Away (Data & Trends)" turns into an unreadable mess if the raw title is dropped straight into a URL — spaces become %20, the ampersand needs encoding, and parentheses confuse some link parsers. A slug generator produces why-remote-work-isnt-going-away-data-trends instead, which is both readable and safe to paste anywhere.
  • E-commerce product pages. Product names loaded with model numbers, trademark symbols, and slashes — "Model X100/200 — 4K™ Edition" — need a predictable, punctuation-free slug before they can become a stable product URL that survives a catalog import or a platform migration years later.
  • Tag and category pages. Most CMS platforms generate a URL for every tag and category automatically, and running a candidate tag name through the tool first lets you preview exactly what that URL will look like before committing to a name that turns out to slugify awkwardly.
  • File and asset naming. Uploading files with spaces or accented characters in their names causes problems on some servers and content delivery networks; running a filename through a slug tool first avoids broken links once the file is live.
  • Forum threads and user-generated titles. Any platform that turns user input into part of a URL needs a consistent way to sanitize that input, and doing it with a dedicated tool is more predictable than an ad hoc regular expression bolted onto a form handler.

Technical Deep Dive: What Actually Makes a Slug "Clean"

Generating a clean slug comes down to a handful of transformations applied in a specific order: lowercase every letter, normalize or strip accented characters, remove anything that isn't a letter, number, space, or hyphen, collapse whitespace into single hyphens, and finally trim any leading or trailing hyphen left over from punctuation at the very start or end of the original text. The order matters — stripping punctuation before collapsing whitespace, for instance, can leave doubled hyphens behind if the collapsing step doesn't run afterward.

The accent-stripping step deserves a closer look, because it's the part most hand-rolled slug scripts get wrong. Accented Latin letters like é, ñ, and ü are typically stored as a single precomposed character, but they can be decomposed into a base letter plus a separate combining accent mark using standard Unicode normalization. Once decomposed, the combining marks can be filtered out entirely, leaving the plain base letter behind — é becomes e, ñ becomes n — without needing a hand-maintained lookup table listing every accented character in every language a title might use. That's a more general approach than mapping individual accented characters one at a time, since it also catches characters a lookup table was never updated to include.

Separator choice is a smaller but still real decision, and each option carries a real tradeoff:

SeparatorProsCons
Hyphen (-)Search engines treat it as a word boundary; the de facto web standardNone significant
Underscore (_)Familiar from filenames and code identifiersOften read as one continuous word rather than separate terms
Period (.)Compact, occasionally used for versioned or dotted pathsCan be confused with a file extension separator
No separatorShortest possible stringUnreadable at a glance; breaks keyword matching for search engines

Length is the other lever worth managing deliberately. There's no hard technical limit on slug length, but very long slugs get truncated in search results and are harder to share or type from memory. Keeping a slug under roughly 60 characters — trimming filler words like "a," "the," and "of" where the meaning survives without them — tends to produce URLs that stay fully visible on a results page instead of getting cut off with an ellipsis partway through.

Automatic Generation vs Manual Editing vs CMS Auto-Slugs

Most CMS platforms — WordPress, Shopify, Ghost, and similar systems — already generate a slug automatically from whatever title you type, so it's fair to ask why a standalone tool earns a place in the workflow at all. A few real gaps show up in practice:

  • CMS auto-slugs are inconsistent across platforms. Some systems keep filler words, some strip them; some cap length automatically, some don't; some handle accented characters gracefully, others leave garbled output behind. A dedicated tool gives a predictable result you can check before publishing, independent of whichever platform happens to be in use that day.
  • Manual editing is slow and error-prone at scale. Typing out a hyphenated, lowercase version of every title by hand works fine for one page; it falls apart across a product catalog with hundreds of listings or a migration involving thousands of legacy URLs that all need consistent treatment.
  • Spreadsheet formulas get complicated quickly. It's possible to approximate slug generation with nested substitution and lowercase formulas in a spreadsheet, but handling accented characters and edge-case punctuation that way usually means a long, fragile formula that breaks the first time an unexpected character shows up in a new row.
  • A dedicated tool handles the edge cases once. Accent stripping, punctuation removal, and hyphen collapsing are solved problems here, so there's no need to rebuild that logic from scratch in every project that happens to need it.

The tradeoff runs the other way for very high-volume, fully automated pipelines: if slugs need generating for thousands of records without a person ever looking at the input box, the API is the more direct route than pasting titles into a browser tab one at a time.

How Your Text Is Handled

Every keystroke typed into the input box is processed locally, inside your browser, by JavaScript running on the page itself. Nothing is transmitted to a server as you type, nothing is logged, and no copy of your title or the resulting slug is stored anywhere after you close the tab — that's also why the output updates instantly with no loading delay, since there's no network round trip involved in producing it.

Common Questions About Generating Slugs

Why do slugs use hyphens instead of underscores?

Search engines have historically treated a hyphen as a word separator and an underscore as a character that joins two words into one. "coffee-makers" reads as two distinct keyword terms; "coffee_makers" is more likely to be read as a single token. That's why hyphens became the de facto standard for URL slugs across the web, and why hyphen is the tool's default separator.

What happens to numbers and symbols in the original text?

Numbers pass straight through, since they're already URL-safe on their own. Most symbols — exclamation points, question marks, ampersands, quotation marks, parentheses — are removed entirely rather than converted, because there's no universally readable text equivalent for most of them once they're sitting inside a URL.

Can a slug generator produce duplicate slugs for different titles?

Yes, if two titles are similar enough after cleanup — "Best Pizza Recipe!" and "Best Pizza Recipe?" both slugify to best-pizza-recipe. That's expected behavior for the tool itself; deduplication, appending -2, -3, and so on for repeats, is something the receiving system, like a CMS or database layer, typically handles separately when it saves the slug.

Does capitalization in the middle of a word get preserved?

No, not with lowercase mode switched on, which is the default. "iPhone Review" becomes iphone-review rather than iPhone-Review, matching the convention that virtually every major CMS and static site generator follows for its own auto-generated slugs.

Is there a length limit I should follow for SEO?

There's no strict technical cutoff, but slugs under roughly 60 characters tend to display fully in search results without truncation. The max-length setting lets you cap output at a specific character count if you're matching a database column limit or a length guideline from an internal style guide.

Will the same input always produce the same slug?

Yes — the transformation is deterministic. The same title, with the same separator and transliteration settings, always produces the exact same slug, which matters if a slug needs to be regenerated later and still match a URL that was already published and indexed.

Related Tools

Slugs are usually one step in a bigger text-cleanup workflow. If a title still needs adjusting for capitalization style before it gets slugified, Text Case Converter handles that first. When a slug needs a specific recurring word replaced or a typo fixed across a batch of titles before conversion, Find and Replace handles that in one pass. If you're deciding how long a slug can be based on how long a field allows, Character Counter gives an exact count for either the source text or the generated slug. Publishers who need to gauge a full page's length alongside its slug can check Word Counter, and anyone preparing text for a system that needs quotes or backslashes escaped before storage should look at String Escape/Unescape.

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