Schema Markup Generator
Tell a machine what the page is about without asking it to infer every relationship. Build a starting JSON-LD document for an organization, article, product or FAQ, then check it against the content visitors can actually see.
Facts first. Markup second.
IN YOUR BROWSER / PRIVATE INPUTGood input. Useful output.
Create clean JSON-LD for your organization, article, product or FAQ.
Try the example, or make it your own.How to use the
Schema Markup Generator
- 01
Choose the entity the page describes
Select Organization, Article, Product or FAQPage. The form shows fields for that type; do not use Product just because a service has a price.
- 02
Enter visible, verifiable facts
Use the preferred page URL, an accurate name and a specific description. For a product, confirm the price and three-letter currency. For FAQs, enter one question and answer per line, separated by a vertical bar.
- 03
Copy, publish and verify
Copy the JSON-LD into a script element with type application/ld+json. Check the final rendered page for duplicate or conflicting markup from your CMS before validating it.
Choose the right starting document
This generator creates a compact starting document, not every recommended property for every search feature. A successful export means the supplied values could be serialized. It is not a certification of rich-result eligibility or a review of your claims.
| Type | Useful for | What needs your review |
|---|---|---|
| Organization | A business or publisher identity. | The name, URL and description must identify the same organization. |
| Article | An editorial page with a headline and author. | Add appropriate publication details in your production implementation. |
| Product | A specific product and its offer. | Price, currency and product identity must match the visible offer. |
| FAQPage | A page's genuine questions and answers. | Answers must be available to visitors; markup does not promise a special search display. |
A studio identity, expressed in JSON-LD
An organization example keeps the entity separate from a marketing slogan. Replace the example domain and describe the actual publisher. The generator escapes special characters so a description remains a value rather than becoming markup.
Type: Organization
Name: North Studio
URL: https://example.com/
Description: Independent design studio.{"@context":"https://schema.org","@type":"Organization","name":"North Studio","url":"https://example.com/","description":"Independent design studio."}Where generated schema fits in a publishing workflow
A page may already contain JSON-LD from a theme, commerce platform or SEO plugin. Inspect it before adding another block. Two blocks are not automatically wrong, but two conflicting prices or organization names create ambiguity. Keep one source of truth for facts that change.
Validate two different things after deployment: whether the document follows the Schema.org vocabulary, and whether the intended search feature has additional requirements. A generic JSON Schema validator does not replace that second check. Correct markup helps describe content; the search engine decides whether and how to display it.
The mistakes a generator cannot prevent
Inventing missing evidence
Do not add reviews, ratings, credentials or offers that the page cannot substantiate. More properties do not make an unsupported claim more credible.
Leaving sample information behind
Search the final source for example.com, placeholder brands and old prices. Preview environments and copied templates are common sources of stale entity details.
Treating every page as an FAQ
Use FAQPage only where the questions and answers belong. Repeating the same marked-up FAQ across unrelated pages adds little useful information.
Schema Markup Generator:
questions, answered.
Does this generator include LocalBusiness schema?
No. It supports four listed types. A business needing opening hours, departments or location-specific details should build and validate a more specific LocalBusiness implementation.
Can I paste the JSON directly into visible page copy?
Place it inside a script element with type application/ld+json, through your CMS or template. Keep the corresponding facts visible in normal page content too.
Will valid JSON-LD guarantee a Google rich result?
No. Eligibility depends on the applicable feature, content and policies, and appearance remains the search engine's decision. This tool does not run Google's Rich Results Test.
Why are some fields absent after switching entity type?
Inputs are purpose-specific. Product pricing does not belong in the Organization document, and FAQ answers are serialized only for FAQPage. Review the selected type before exporting.
The calculations and checks above describe this tool's implementation. Use these primary references for the underlying formats and publishing guidance.
Google's Organization structured-data guide ↗ (opens in a new tab)Schema.org vocabulary ↗ (opens in a new tab)Describe what is already true.
Create the smallest accurate document, then validate the published page before expanding it.
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