Trexmi
SEO Ready

Schema Markup Generator

Generate validated JSON-LD structured data for common SEO schema types.

Article schema WebSite schema Organization schema Product schema
Structured data must accurately describe visible page content. Generating markup does not guarantee a rich result.
INPUT Name / title *
0 chars0 words0 lines

Tool settings

Ctrl / ⌘ + Enter
Generated JSON-LD Validated JSON-LD ready to place in a script type=application/ld+json block.
About the tool

What Schema Markup Generator does

Schema Markup Generator creates clean JSON-LD structured data for common SEO entities such as articles, websites, organizations, products, and FAQ pages. Instead of manually assembling nested JSON, you fill in the fields that match the visible page and Trexmi produces copy-ready markup.

The Schema Markup Generator helps search systems understand entities and relationships, but the markup must describe content users can actually see. Generated code from the Schema Markup Generator should therefore be treated as a technical starting point, not a shortcut for adding claims or information that is absent from the page.

schema markup generator building JSON-LD structured data for SEO
Schema Markup Generator turns visible page details into organized JSON-LD.

How to use

  1. Select the schema type. Choose Article, WebSite, Organization, Product, or FAQPage according to the main entity represented by the page.
  2. Enter the canonical URL. Use the preferred absolute URL for the entity or document.
  3. Add accurate properties. Titles, descriptions, images, authors, prices, and FAQ answers should match what visitors can verify on the page.
  4. Generate the JSON-LD. Review the output for completeness and copy it into a script element with type application/ld+json.
  5. Test the published page. Rich-result eligibility depends on search-engine guidelines and the type of markup used.
Built for the task

Why use Schema Markup Generator?

Focused controls, predictable output, and a workflow designed around this exact transformation.

01

Clean JSON-LD

Generate readable structured data without manually balancing JSON syntax.

02

Five common schema types

Build Article, WebSite, Organization, Product, and FAQPage markup.

03

Input validation

Catch invalid URLs, currencies, dates, prices, and FAQ row formats before export.

04

Copy-ready output

Use the generated JSON-LD directly in your page template or CMS.

Useful answers

Questions about Schema Markup Generator

Practical details about input, output, privacy, limits, and the best way to use this tool.

01 What is schema markup?

Schema markup is structured data that describes entities and properties in a machine-readable vocabulary. JSON-LD is a common way to place that information on a web page.

02 Does schema markup guarantee rich results?

No. Structured data can make page meaning clearer, but search engines decide whether a page is eligible for enhanced search features.

03 Which schema type should I choose?

Choose the type that best matches the primary visible entity on the page. An editorial guide can use Article, a company homepage can use Organization or WebSite, and a product detail page can use Product.

04 Can I generate FAQPage markup?

Yes. Enter one visible question and answer per line using the Question | Answer format. Do not mark up hidden or fabricated FAQ content.

05 Where do I place JSON-LD?

JSON-LD is commonly placed in a script element with type application/ld+json. It can be included in the document head or body as long as it describes the page accurately.

How the Schema Markup Generator describes a page

HTML explains document structure to browsers, while structured data adds explicit machine-readable meaning. A page title may look like a product name to a person, but JSON-LD can state that the entity is a Product, identify its URL, describe an Offer, and attach properties such as price currency or availability. The same idea applies to articles, organizations, websites, and FAQ content.

The vocabulary comes from Schema.org. Search engines consume parts of that vocabulary for understanding and, for supported features, may use eligible markup when presenting search results. Correct syntax alone is not enough. The Schema Markup Generator still depends on accurate entity, property, and value choices that align with the visible content and page purpose.

Choosing the right schema type

Article works for editorial articles, tutorials, and guides. WebSite describes the overall website identity. Organization represents a business or organization. Product describes a specific product and can include an Offer when real price information is available. FAQPage represents a page containing actual questions and answers.

A common mistake is choosing a schema type only because it appears more attractive in search. The markup should reflect the real entity. If several entities are important, advanced implementations can connect multiple nodes with identifiers, but a clear primary entity is a good starting point.

Structured-data quality rules

Use canonical absolute URLs, stable image URLs, real names, accurate descriptions, and values that visitors can confirm. Avoid adding reviews, prices, authorship, availability, or questions that are not present or supported by the visible page. Keep generated markup synchronized when page content changes.

For Product markup, currency should use a three-letter ISO code and availability should use the appropriate Schema.org value. For Article markup, publication dates should use an ISO-compatible date. For FAQPage markup, every generated Question and Answer should correspond to visible FAQ content.

A practical Schema Markup Generator workflow

Start with the Schema Markup Generator and choose the most appropriate type. Populate only meaningful fields, generate the output, and read it once before publishing. The Schema Markup Generator produces the JSON-LD, but you should still place it on the page, verify the final rendered HTML, and use the appropriate structured-data testing tools for the search platform you care about.

When templates generate structured data automatically, test more than one representative page. Empty values, stale prices, wrong canonical URLs, and duplicated schema blocks are easier to catch before a large deployment.

Preview search presentation with SERP Snippet Preview, build document metadata with Meta Tags Generator, and verify preferred URLs with Canonical URL Checker.

Authoritative structured-data references

Review the vocabulary at Schema.org and the implementation guidance in Google Search structured data documentation.