Marketing & growth · Free online tool

Schema markup generator

Create a JSON-LD block for a Schema.org type with optional validated extra properties. Build a syntactically valid structured-data starting point for an article, product, organisation or another Schema.org type.

3 guest runs per rolling 24 hours10 with a free accountPrivate inputsMobile-friendly

Schema markup generator workspace

Runs locally in your browser

Checking your allowance…

Guest access includes 3 public-tool runs per rolling 24 hours. Inputs stay on this device.

This generates syntactically valid JSON-LD. Search-feature eligibility still depends on the selected type, required properties and visible page content.

Examples: Article, Product, Organization, LocalBusiness or SoftwareApplication.
JSON-LD script

Use it with confidence

How to use the schema markup generator.

01

Add the requested inputs

Use the labelled fields in the workspace above. If example values are provided, try them first or replace them with your own.

02

Calculate and review

Use the main action when needed. The generator combines the required context and chosen type with entered fields, validates extra JSON and serialises one JSON-LD script block.

03

Try a worked example

Create an Organization object with its name, canonical URL, description and image, then add reviewed properties as JSON.

04

Check the assumptions

Valid JSON-LD does not ensure semantic accuracy or search-feature eligibility; requirements change and markup must match visible page content.

Helpful answers

Schema markup generator FAQs.

Is the schema markup generator free?

Yes. Guests receive 3 runs per rolling 24 hours, verified free accounts receive 10, and Premium subscribers receive unlimited normal use.

Does UtilHub upload or save my inputs?

No. This tool runs in your browser and UtilHub does not receive or store the values you enter. Your browser or device may still retain normal local history or form data.

How does this schema markup generator work?

The generator combines the required context and chosen type with entered fields, validates extra JSON and serialises one JSON-LD script block.

What should I check before using the result?

Valid JSON-LD does not ensure semantic accuracy or search-feature eligibility; requirements change and markup must match visible page content.