NewsArticle Schema Generator
Create focused NewsArticle structured data without sending article details anywhere.
Build a focused NewsArticle description
NewsArticle structured data describes a reported article in a vocabulary that search systems can parse consistently. This generator creates the NewsArticle type and adds only the fields you actually complete, including a headline, named person as author, publication and modification dates, image URL, publisher organization, and plain-language description. Empty optional fields are omitted so the result stays readable and does not make unsupported claims about the page.
The default example produces a NewsArticle object with the headline Hello and an author Person named Ada. Adding a publisher creates an Organization entry, while adding an image places that URL in the image list. After copying the output, place it in the appropriate JSON-LD script element on the matching article page and test the deployed page with a structured-data validator.
Review locally before publishing
All field handling and JSON formatting happen in your browser. The tool does not fetch the article URL, inspect an image, or validate ownership and editorial facts. Confirm that every generated value matches visible page content, use ISO-formatted dates, provide absolute image URLs, and follow the current documentation of the search platforms you intend to support.
Frequently Asked Questions
What schema type does this generator create?
It creates a JSON-LD object whose schema type is NewsArticle.
Which fields should I complete?
Headline and author are the core starting fields; publication dates, image, publisher, and description add useful context.
Does generated schema guarantee a search feature?
No. Valid structured data can improve machine understanding, but search engines decide whether and how to display enhanced results.
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