eg

slug generator.

any text → clean url-safe slug, ecommerce-tuned

url-safe slug
the-ultimate-men-s-running-shoe-size-10-red
stopwords removed
ultimate-men-s-running-shoe-size-10-red
line 1 length43/80

> worked example

Input: "The Ultimate Men's Running Shoe, Size 10 / Red!". Standard output: the-ultimate-mens-running-shoe-size-10-red. With stopwords removed: ultimate-mens-running-shoe-size-10-red. The slugifier strips the accent from accented characters, replaces & with 'and', removes emoji, and collapses any non-alphanumeric run into a single hyphen. At 80 characters the result truncates on a word boundary rather than mid-word.

takeaway, Consistent slug rules across your PDP catalogue prevent duplicate-URL errors and keep your URLs readable in SERPs.

> when operators reach for this

  • Shopify developers bulk-slugifying a CSV of product titles before an import, paste the whole column, get one slug per line.
  • SEO leads auditing a category migration who need to confirm every new URL follows the same normalisation rules.
  • Content managers creating blog post URLs from headline drafts and wanting to strip stopwords for keyword density.
  • Agencies onboarding a client's product catalogue from a legacy system that used spaces and special characters in URLs.
  • Developers testing how edge-case titles (emoji, accented vowels, ampersands, slashes) will resolve before pushing to production.

> the calculation

  • slug ruleslowercase → strip accents (NFD) → replace & with and → non-alphanumeric runs → single -
  • max length80 chars, truncate on word boundary where possible
  • stopwordsa, an, the, of, in, for, on, at, to, and, or, is, it, with, by (toggle)

> related calculators, seo & metadata