Slug Generator — How to Create URL-Friendly Slugs Online

Every page on the web needs a URL, and the slug is the human-readable part that tells both users and search engines what the page is about. A good slug like /blog/how-to-generate-url-slugs is clear, keyword-rich, and easy to share. A bad slug like /blog/post?id=47392&ref=cms is meaningless, unfriendly, and hurts SEO. The difference between them is a slug generator that converts titles into clean, URL-safe strings.

This guide covers what URL slugs are, why they matter for SEO, how to generate them properly, and the conventions that separate good slugs from bad ones.

What Is a URL Slug?

A URL slug is the portion of a URL path that identifies a specific page, typically derived from the page title. It uses only lowercase letters, numbers, and hyphens — no spaces, special characters, or uppercase letters. The title "How to Generate URL Slugs" becomes the slug how-to-generate-url-slugs.

You would generate slugs when creating blog posts, product pages, category pages, documentation pages, and any content with a human-readable URL. Good slugs improve SEO (they contain keywords that search engines index), user experience (users can understand the page topic from the URL), and shareability (clean URLs look trustworthy when shared on social media).

How to Generate Slugs with FlipMyCase

1. Open the FlipMyCase Slug Generator.
2. Paste your page title or text.
3. The tool instantly generates a clean URL slug — lowercased, hyphenated, special characters removed.
4. Copy the slug for your CMS, static site, or application code.

The generator strips diacritics (é→e, ñ→n), removes special characters, collapses multiple hyphens, and trims leading/trailing hyphens. For broader case conversion including snake_case and kebab-case, use the Snake/Kebab Converter.

Code Examples for Slug Generation

JavaScript

function slugify(text) {
  return text
    .normalize('NFD')                   // Decompose diacritics
    .replace(/[\u0300-\u036f]/g, '')    // Remove diacritical marks
    .toLowerCase()
    .trim()
    .replace(/[^a-z0-9\s-]/g, '')      // Remove non-alphanumeric
    .replace(/[\s_]+/g, '-')            // Spaces/underscores to hyphens
    .replace(/-+/g, '-')               // Collapse multiple hyphens
    .replace(/^-|-$/g, '');            // Trim leading/trailing hyphens
}

console.log(slugify('How to Generate URL Slugs'));
// how-to-generate-url-slugs

console.log(slugify("Café Résumé: A Developer's Guide!"));
// cafe-resume-a-developers-guide

console.log(slugify('   Multiple   Spaces   &   Symbols!!! '));
// multiple-spaces-symbols

// Remove common stop words for shorter slugs
function slugifyShort(text) {
  const stops = new Set(['a','an','the','and','or','but','in','on','at','to','for','of','is']);
  const words = slugify(text).split('-').filter(w => !stops.has(w));
  return words.join('-');
}
console.log(slugifyShort('How to Convert Text to Uppercase in JavaScript'));
// how-convert-text-uppercase-javascript

Python

import re
import unicodedata

def slugify(text):
    # Normalize unicode and remove diacritics
    text = unicodedata.normalize('NFD', text)
    text = text.encode('ascii', 'ignore').decode('ascii')
    text = text.lower().strip()
    text = re.sub(r'[^a-z0-9\s-]', '', text)
    text = re.sub(r'[\s_]+', '-', text)
    text = re.sub(r'-+', '-', text)
    text = text.strip('-')
    return text

print(slugify('How to Generate URL Slugs'))
# how-to-generate-url-slugs

print(slugify("Café Résumé: A Developer's Guide!"))
# cafe-resume-a-developers-guide

# Django's built-in slugify
from django.utils.text import slugify as django_slugify
print(django_slugify('How to Generate URL Slugs'))
# how-to-generate-url-slugs

# Batch slugify from titles
titles = [
    'Getting Started with Python',
    'Top 10 CSS Tips & Tricks',
    'Why Developers Love TypeScript',
]
for title in titles:
    print(f'{slugify(title):40s} ← {title}')

Go

package main

import (
    "fmt"
    "regexp"
    "strings"
    "unicode"

    "golang.org/x/text/unicode/norm"
    "golang.org/x/text/transform"
    "golang.org/x/text/runes"
)

func slugify(text string) string {
    // Remove diacritics
    t := transform.Chain(norm.NFD, runes.Remove(runes.In(unicode.Mn)), norm.NFC)
    result, _, _ := transform.String(t, text)

    result = strings.ToLower(result)
    re := regexp.MustCompile(`[^a-z0-9\s-]`)
    result = re.ReplaceAllString(result, "")
    re = regexp.MustCompile(`[\s_]+`)
    result = re.ReplaceAllString(result, "-")
    re = regexp.MustCompile(`-+`)
    result = re.ReplaceAllString(result, "-")
    return strings.Trim(result, "-")
}

func main() {
    fmt.Println(slugify("How to Generate URL Slugs"))
    // how-to-generate-url-slugs
    fmt.Println(slugify("Café Résumé: A Developer's Guide!"))
    // cafe-resume-a-developers-guide
}

Real-World Use Cases

Blog and CMS publishing. Every blog post needs a slug derived from its title. Most CMS platforms auto-generate slugs, but the results are often too long or include unnecessary stop words. Use the Slug Generator to create optimized slugs before publishing, keeping them to 3-5 keywords.

E-commerce product URLs. Product pages with slugs like /shoes/nike-air-max-90-black rank better and look more trustworthy than /products?id=48291. Generate slugs from product names during catalog import, handling special characters and brand names correctly.

Documentation and knowledge bases. Technical documentation benefits from descriptive slugs: /docs/getting-started-authentication tells the reader what to expect before clicking. Generate slugs from section headings to create a navigable URL structure.

URL migration. When redesigning a site's URL structure, generate new slugs for all pages, then set up 301 redirects from old URLs. Compare old and new URLs with the Text Diff tool to verify no pages were missed.

Common Mistakes and Gotchas

The most common mistake is creating slugs that are too long. "how-to-convert-your-text-to-uppercase-letters-using-our-free-online-tool" is a terrible slug. Keep slugs to 3-5 words: convert-text-uppercase. Remove stop words (a, the, and, or, to, in, on, for, of) unless they change meaning.

Not handling diacritics causes ugly percent-encoded URLs. "café" becomes caf%C3%A9 in a URL, which is unreadable. Strip diacritics to ASCII equivalents: é→e, ñ→n, ü→u. The Slug Generator handles this automatically.

Changing slugs after publishing breaks links and loses SEO value. If the original slug has inbound links and search rankings, changing it without a 301 redirect loses all of that. Only change slugs when absolutely necessary, and always redirect.

Duplicate slugs within the same URL path cause routing conflicts. If two blog posts generate the slug getting-started, one overwrites the other. Add a differentiator: getting-started-python, getting-started-javascript.

Frequently Asked Questions

Do URL slugs affect SEO? Yes. Google uses words in URLs as a relevance signal. A slug containing your target keyword (convert-csv-to-json) ranks slightly better than a generic one (post-47). More importantly, descriptive slugs improve click-through rates in search results because users can see what the page is about.

Should I remove stop words from slugs? Generally yes — shorter slugs are better for SEO and readability. Remove articles (a, an, the), prepositions (in, on, at, to, for), and conjunctions (and, or, but). Keep stop words only when removing them changes meaning: "to-be-or-not-to-be" needs the stop words.

How do I handle non-English characters in slugs? Convert diacritics to ASCII equivalents (é→e, ü→u, ñ→n) using Unicode normalization. For non-Latin scripts (Chinese, Arabic, Cyrillic), either transliterate to Latin characters or use the original script — Google indexes both. The Slug Generator handles Latin diacritics automatically.

Conclusion

URL slugs are a small detail with outsized impact on SEO, user experience, and link shareability. A clean, keyword-rich slug takes seconds to create but improves every aspect of how a page performs.

The FlipMyCase Slug Generator converts titles to clean URL slugs instantly, handling diacritics, special characters, and whitespace normalization. For programmatic slug generation, the JavaScript, Python, and Go examples above cover all common patterns. For broader case conversion, use the Snake/Kebab Converter and clean up source text with the Text Cleaner.