JSON-LD Schema Generator

Structured data is how you tell search engines what a page is instead of hoping they infer it: this is an article with this author and date, this is an organization at this address, this is a question with this answer. Google's preferred format is JSON-LD — a script tag containing labeled Schema.org data — and writing it by hand means memorizing property names inside JSON syntax where one missing brace invalidates everything. This generator produces the block from a plain form.

Pick one of five schema types and the fields map onto the right properties automatically. Article turns your name field into the headline and wraps the author in a proper Person object with the publication date alongside. WebSite emits the site's name, URL, and description. FAQPage builds a question-and-answer pair — the name field becomes the question, the description its accepted answer. Product and Organization produce the basic name/description/URL entity. In every case the output is a complete <script type="application/ld+json"> block with correctly quoted, pretty-printed JSON, updated live as you type.

The honesty rule that keeps structured data safe: it must describe what is visibly on the page. Marking up FAQs the page does not show or reviews that do not exist violates Google's guidelines and can draw a manual penalty. Generate the markup, paste it, and then validate the live page with Google's Rich Results Test — eligibility for rich results is earned, and Google decides query by query whether to display them.

The generator keeps a base object with the @context (schema.org) and your chosen @type, then merges in the properties that type uses. Article maps the name field to headline and nests the author as a Person; WebSite uses name, url, and description; FAQPage wraps your name and description into a mainEntity containing one Question with an acceptedAnswer; Product and Organization take the generic name, description, and url. The object is serialized with the browser's JSON engine using two-space indentation and wrapped in the script tag.

When a search engine crawls the page, it parses the block, checks the properties against the requirements for that type, and — if the page qualifies — considers it for rich-result treatments like article cards or FAQ dropdowns. Validation makes a page eligible; Google decides per query whether the enhanced display actually appears.

Each type emits its core properties only: no images, publisher logos, prices, ratings, or breadcrumbs, which some rich-result formats require — treat the output as a correct skeleton to extend rather than exhaustive markup. FAQPage produces a single question-and-answer pair per generation; for a multi-question page, generate the block and duplicate entries inside the mainEntity array by hand. The form fields are shared across types, so fields a type does not use are ignored rather than hidden. The tool does not validate against Google's per-type requirements — the Rich Results Test remains the authority.

The schema object is built client-side per type and serialized with JSON.stringify at two-space indentation, so string escaping is handled by the JSON engine rather than templates — quotes in your text cannot break the output. Article nests the author as a Person object; FAQPage nests a Question with an acceptedAnswer Answer object. The output textarea is read-only with a copy button. No requests are made with your data.

What each type generates

Site owners and marketers adding their first structured data without learning Schema.org's vocabulary; developers who want a correct JSON-LD skeleton to extend; and SEO practitioners producing quick markup drafts during audits. If your pages have never had structured data, the Article and Organization types are the highest-value starting points.