Free Schema Markup Generator
Create clean JSON-LD structured data for common Schema.org types such as Article, Product, Local Business, Organization, Breadcrumbs, Events, Jobs, and more.
✓ Free to Use • No Signup • Processed Locally in Your Browser
Schema Markup Generator
Create clean JSON-LD structured data for common Schema.org types.
Structured data helps search engines understand page content, but valid markup does not guarantee a rich result.
Generated markup should describe information that is actually visible or represented on the page.
Private by design — your schema values are processed locally in your browser and are not uploaded or stored.
What Is a Schema Markup Generator?
A Schema Markup Generator turns information about a page into structured data that follows the Schema.org vocabulary. Instead of writing nested JSON by hand, you choose the type that best describes the page, enter real details such as a product name, article author, business address, event date, or breadcrumb path, and copy the generated markup.
This tool outputs JSON-LD, so it also works as a JSON-LD Generator, schema generator, and structured data generator. Google supports JSON-LD, Microdata, and RDFa, and says JSON-LD is generally the easiest format for site owners to implement and maintain. You can review Google's introduction to structured data for the current guidance.
Important: valid structured data can help search engines understand a page and may make eligible content available for enhanced search features, but it does not guarantee a rich result or higher rankings.
How to Use the JSON-LD Schema Generator
- Choose the Schema.org type that most accurately represents the main content or entity you want to describe.
- Complete the relevant fields using information that is actually present on, or genuinely represented by, the page.
- Review the live Generated JSON-LD output and the local Markup Check messages.
- Leave Include script tag enabled when you want a ready-to-paste HTML script block, or copy the raw JSON when your CMS asks for JSON only.
- Test the finished markup with an official validator before publishing it to production.
The generator deliberately leaves blank properties out of the output. It also does not invent ratings, prices, reviews, dates, authors, addresses, or other facts. That keeps the generated code closer to the information you actually provide.
What Does JSON-LD Schema Markup Look Like?
JSON-LD expresses Schema.org types and properties as structured JSON. A simple organization example can look like this:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Example Company",
"url": "https://example.com/",
"logo": "https://example.com/logo.png"
}
</script>The @context identifies the Schema.org vocabulary, while @type describes the kind of entity or content. Other properties add facts that are relevant to that specific type.
Schema Types Available in This Generator
AddLinker's JSON-LD Schema Generator focuses on practical page and entity types instead of loading hundreds of rarely used Schema.org options into one oversized interface.
Headlines, authors, publishers, images, descriptions and publication dates.
Product details, brand, offers, availability and real aggregate ratings when supplied.
Business details, address, coordinates and opening-hour specifications.
Entity details, profiles, descriptions and SameAs references.
Ordered breadcrumb items that describe a navigational trail.
Dates, attendance mode, physical or virtual location, organizer and ticket offer details.
Job information, hiring organization, location and optional salary data.
Recipe timing and steps, or video metadata such as thumbnail, upload date and duration.
Website name, canonical home-page URL and alternate name.
FAQ structured data or software-app details with optional offers and real ratings.
Schema.org Markup vs Google Search Structured Data
Schema.org defines a broad shared vocabulary that can be used by search engines and other systems. Google Search supports a subset of structured-data types and properties for specific search features. A property can therefore be perfectly valid Schema.org markup without being a requirement for a Google rich result.
For Google-specific behavior, use Google Search Central as the source of truth. For general vocabulary validation, the Schema Markup Validator can check Schema.org markup without applying Google feature-specific requirements.
Why the Tool Does Not Call Every Type “Google Approved”
There is no useful “Google approved schema” badge that guarantees a search feature. Google states that correctly marked-up content is not guaranteed to appear as a rich result. Eligibility also depends on the page content, feature-specific requirements, crawlability, quality guidelines, and Google's search systems.
Current Note About FAQPage Structured Data
FAQPage remains a Schema.org type, so the generator can still create valid FAQ structured data when it accurately describes the page. However, Google announced in May 2026 that the FAQ rich-result feature was deprecated and would no longer appear in Google Search starting May 7, 2026. This is why the tool does not present FAQ markup as a way to obtain FAQ rich results.
Structured-data search features can change over time, so checking the latest Google documentation before deploying markup at scale is a better practice than relying on old screenshots or outdated SEO checklists.
Where Should JSON-LD Be Added?
JSON-LD is commonly placed in a <script type="application/ld+json"> element in the page HTML. Google can process JSON-LD in the <head> or <body> when it is implemented correctly. In WordPress, the exact placement depends on your theme, SEO plugin, custom-code system, or template setup.
The markup should be added to the page it describes. For example, Product structured data belongs with the relevant product content, while Google specifically recommends WebSite structured data for site-name information on the site's domain or subdomain home page.
Use Structured Data That Matches Visible Page Content
A schema markup generator can prevent many syntax and nesting mistakes, but it cannot verify that every fact you enter is truthful. Google says structured data should represent the page's actual content and warns against marking up hidden, misleading, irrelevant, or fabricated information. See the current general structured data guidelines.
- Do not add invented review scores or review counts just to create star markup.
- Keep prices, availability, event dates, job information and other time-sensitive values up to date.
- Use the most specific appropriate type when you genuinely know what the page represents.
- Make sure image and page URLs used in structured data resolve to the intended resources.
- Avoid marking up unrelated information merely because a schema type offers a desirable search appearance.
How the Built-In Markup Check Works
The tool performs lightweight checks in your browser. It can catch issues such as missing core fields, malformed HTTP or HTTPS URLs, incomplete rating data, event date order problems, invalid coordinates, incomplete FAQ rows, and other obvious input problems.
That local check is intentionally not called a Google validation score. After generating the markup, use the Google Rich Results Test when the selected type is supported there, and use Schema Markup Validator for general Schema.org syntax and vocabulary validation.
Common Schema Markup Mistakes to Avoid
- Choosing the wrong type: structured data should describe what the page actually represents, not the search feature you hope to receive.
- Adding fake ratings: use review and aggregate-rating data only when it is genuine and appropriately represented on the page.
- Using incomplete URLs: image, product, profile, organizer and other full-URL fields should normally use complete HTTP or HTTPS addresses.
- Publishing stale values: expired event offers, outdated availability and old job information can make structured data inaccurate.
- Assuming syntax equals eligibility: valid JSON is only one part of a correct structured-data implementation.
- Expecting rankings from markup alone: structured data describes content; it is not a substitute for useful pages, crawlability, indexing and broader SEO fundamentals.
Frequently Asked Questions
What is a JSON-LD Generator?
A JSON-LD Generator creates structured data in JSON-LD format from the information you enter. It can remove the need to hand-write nested JSON for common Schema.org types.
Is JSON-LD the same as schema markup?
Schema.org is the vocabulary of types and properties, while JSON-LD is one format used to express that structured data. Google also supports Microdata and RDFa for supported search features.
Does schema markup guarantee a Google rich result?
No. Valid structured data can make eligible content understandable for supported features, but Google explicitly does not guarantee that a rich result will appear.
Can I generate Product schema without reviews?
Yes, Schema.org Product markup does not require you to invent reviews. Enter only real product and offer information. Google-specific Product search features have their own required properties, so validate the finished markup against the feature you are targeting.
Should I add FAQPage schema for Google FAQ rich results?
Not for that purpose. FAQPage is still a valid Schema.org type, but Google deprecated the FAQ rich-result feature in May 2026 and says it no longer appears in Google Search.
Can I use this as a Schema.org Generator?
Yes. The tool creates Schema.org-based JSON-LD for the supported types and omits empty properties. It does not attempt to expose the entire Schema.org vocabulary.
Does this tool upload or store my schema data?
No. The generator runs locally in your browser. The values you enter are used to build the JSON-LD on your device and are not sent to an external schema-generation API.
How should I validate generated schema markup?
Use Google's Rich Results Test for supported Google search features and Schema Markup Validator for general Schema.org validation. Also confirm that the markup matches the visible page content before publishing.
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