What is schema markup?
Schema markup is structured data that describes entities on a page using the Schema.org vocabulary so machines can interpret content more clearly.
Free tools
Generate standards-based JSON-LD, check required and recommended fields, build connected entity graphs, and validate markup awareness against Schema.org and Google guidance — privately in your browser.
Loading schema generator…
Schema markup is structured data that describes entities on a page using the Schema.org vocabulary so machines can interpret content more clearly.
JSON-LD is a JSON format for linked data. It is commonly embedded in a script tag and is Google’s preferred structured-data format for many features.
You describe visible entities with properties such as name, URL, offers, or author. Search systems may use that data for understanding and, when eligible, enhanced appearance.
Not every Schema.org type has a dedicated Google rich result. This tool labels Google-supported, Schema.org-only, supporting, and policy-sensitive types.
Pick the most specific type that matches the page’s primary visible entity. Use Type Finder when unsure, then add supporting entities via @graph.
Select a type, complete required and recommended fields, review validation layers, copy JSON-LD or a script tag, and test with official validators.
Add a script tag with type application/ld+json to the page HTML. Keep the tool’s own page schema separate from user-generated preview output.
Serialize known objects with JSON.stringify into a script tag in Astro templates. Never inject untrusted generated JSON as active site schema without review.
Ensure markup matches the current product, article, or shop entity and audit theme/app JSON-LD for duplicates before publishing.
Use a maintained SEO plugin or carefully reviewed custom head code, then verify the rendered page source.
Use this tool’s JSON, Schema.org, Google, and policy layers, then confirm with Google Rich Results Test and the Schema.org Markup Validator.
Required fields are needed for a complete generator output or Google eligibility checks. Recommended fields improve completeness but may not be mandatory.
@id identifies an entity so Organization, WebSite, WebPage, and content types can reference each other consistently.
@graph groups multiple entities in one JSON-LD document, which helps connect publishers, pages, breadcrumbs, and content.
Yes. Use connected entities and avoid contradictory duplicates for the same product, article, or business.
Eligibility, indexing, quality systems, crawlability, and current Google feature support all affect whether enhancements appear.
Hidden content, fake reviews, mismatched prices, duplicate theme/app markup, wrong types, and treating every Schema.org type as a Google rich result.
Structured data should describe what users can see. Misleading markup violates Google’s guidelines.
Themes, plugins, and apps may already emit JSON-LD. Conflicting Product or Organization entities can confuse interpretation.
Schema supports understanding and eligibility for features. It is not a guaranteed ranking lever.
Clear entity markup can help machines interpret relationships, but outcomes vary by system and are not guaranteed.
FAQ
Straight answers about JSON-LD, Google support, validation, placement, and privacy.
A schema generator helps you create Schema.org JSON-LD structured data by choosing a type, filling fields, and exporting markup you can place on a webpage.
Yes. The Web6 Schema Markup Generator is free and does not require an account.
No. Schema data is processed in your browser. Saved templates stay in local browser storage only when you explicitly save them.
JSON-LD is a JSON-based format for linked data. Google recommends JSON-LD for many structured-data implementations.
Yes. Google’s documentation commonly recommends JSON-LD for structured data on web pages.
Schema helps search engines understand page content. It does not guarantee ranking improvements.
No. Valid structured data does not guarantee rich results. Google decides eligibility based on guidelines, page content, accessibility, quality systems, and supported features.
Schema.org is a shared vocabulary. Google supports a subset of types for rich results. This tool labels each type’s Google-support status.
Use the Type Finder or choose the most specific type that matches visible page content, such as Product for product pages or Article for articles.
Yes. Multiple JSON-LD blocks or a single @graph are allowed. Avoid conflicting duplicate entities for the same visible item.
@graph is a JSON-LD container for multiple related entities, such as Organization, WebSite, WebPage, and Article connected by @id references.
@id is a stable identifier for an entity in your structured-data graph so other entities can reference it without duplication.
Yes. Product generation includes offer fields and Google-oriented required/recommended checks.
Yes. Use LocalBusiness only when the business has a genuine physical location or appropriate local presence.
Yes. Article, BlogPosting, and NewsArticle are supported with author, publisher, dates, and image fields.
Yes, with a clear warning that FAQ rich-result eligibility is limited and answers must be visible on the page.
Yes. SoftwareApplication and WebApplication are supported. Set price to 0 only when the product is genuinely free.
Yes. Import or paste existing JSON-LD for JSON syntax checks, unknown-property warnings, and related notes.
Yes for supported types, as a field-completeness and eligibility-awareness layer. It does not replace Google’s Rich Results Test.
Yes. Paste JSON-LD, upload a file, or extract JSON-LD from pasted HTML script tags. Remote URLs are not fetched.
Yes. Download JSON or TXT, copy JSON-LD or a full script tag, and export saved templates.
Place it in a script tag with type application/ld+json in the page head or body. See the installation guide for Astro, React, Shopify, and CMS notes.
It can, but server-rendered or static JSON-LD is generally easier for crawlers. Prefer markup present in the initial HTML when possible.
Yes. Structured data must accurately represent content that users can see on the page where required.
No. Only add Review or AggregateRating when genuine reviews/ratings are visible and permitted for the entity type.
Yes. Use the @graph builder and reference the Organization @id from WebSite.publisher.
Copy your markup and open Google’s Rich Results Test. This tool does not submit your schema automatically.
The Schema.org Markup Validator checks general Schema.org markup and syntax. Use it alongside Google’s tools.
Audit theme, plugin, and app output, use consistent @id values, and remove conflicting markup instead of stacking contradictory entities.
Yes. Generate markup that matches the current product or content, then place it carefully while checking for existing theme/app JSON-LD.
Format and validate JSON syntax.
Build campaign tracking URLs.
Identify probable Shopify themes.
Technical SEO and growth support.
Sites built with clean technical foundations.
Store builds and theme engineering.
Custom apps for merchant workflows.
Commerce storefronts and landing systems.
Product engineering for SaaS teams.
More free browser tools from Web6.
Talk through SEO and implementation delivery.
This tool generates structured data based on the information you enter. You are responsible for ensuring that the markup is accurate, visible on the page where required, and compliant with current search-engine and Schema.org guidelines.
Valid structured data does not guarantee enhanced search appearance, indexing, rankings, AI citations, or rich results.