{"slug":"sao-joao-do-paraiso","original":"Sao Joao do Paraiso"}
curl --location --request GET 'https://zylalabs.com/api/13150/text+processing+utilities+api/26696/slugify+text' --header 'Authorization: Bearer YOUR_API_KEY'
Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Text Processing Utilities API simplemente incluye tu token de portador en el encabezado de Autorización.
| Encabezado | Descripción |
|---|---|
Autorización
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Requerido
Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.
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Practical text processing for content platforms and back offices. Convert titles with accents into clean, web-safe address slugs, measure texts with real statistics, and generate placeholder paragraphs on demand.
Useful for blog and store slugs, word counts and reading-time badges in articles, content-length checks in forms, and seeding demo environments.
The Slugify Text endpoint returns a JSON object containing two key fields: "slug," which is the cleaned, web-safe address slug, and "original," which is the input text provided by the user.
Los campos clave en los datos de respuesta son "slug", que representa el texto transformado como un slug seguro para la web, y "original", que muestra el texto de entrada original para referencia
The Slugify Text endpoint accepts a single parameter: the input text that needs to be converted into a slug. Users can also specify a custom separator for spaces and punctuation.
The response data is organized in a JSON format with two fields: "slug" for the generated slug and "original" for the input text. This structure allows easy access to both the processed and original text.
Typical use cases include generating SEO-friendly URLs for blog posts, creating clean slugs for product pages in e-commerce, and ensuring consistent formatting for web addresses in content management systems.
Users can utilize the returned data by integrating the "slug" into URLs for web pages, ensuring they are clean and readable. The "original" field helps verify the input text used for slug generation.
The Slugify Text endpoint provides information on the transformed slug and the original text. It focuses on converting any given text into a web-safe format suitable for URLs.
Data accuracy is maintained through Unicode-aware processing, ensuring that accented and non-Latin characters are correctly transliterated into their web-safe equivalents, providing reliable output for diverse text inputs.