Create Your JSON-LD Code with the Free Schema Markup Generator

Choose your content type, fill in the required details and instantly generate JSON-LD code that follows Schema.org standards. Copy the code and add it to your website with ease.

Schema Details

Choose the content type and fill in the fields.

JSON-LD Output

Your code updates automatically as you enter details.

Code previewapplication/ld+json
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Structured Data

What Is a Schema Markup Generator?

It is a practical tool that turns the information on your page into the standard JSON-LD structure that search engines can read and classify. We explain schema types and their correct use in our article what is structured data.

From Information to Meaningful Data

Choose one of the content types such as article, product, local business, FAQ, event and person; the tool shows only the required fields and maps the data you enter to the correct Schema.org properties.

Choose the Schema Type

Pick the data model that fits your page content.

Enter the Details

Fill in the headline, address, price, author or question-and-answer fields.

Generate the JSON-LD Code

Copy the ready-made code and apply it to the relevant page.

JSON-LD Preview
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Your Business",
  "address": { ... }
}
Clean output, ready to deploy
Communicating with Search Engines

Why Is a Schema Markup Generator Important?

Search engines see the text on your page; schema markup clearly defines what that text means as a product, business, event or another entity.

It Translates Your Content for Search Engines

Standard structured data helps details such as price, availability, address, publication date and questions and answers be processed in the right context. This makes your page clearer and more eligible for rich result features.

Accurate Classification

The content type and the entities on the page are defined with standard Schema.org properties.

Rich Result Eligibility

Lays the groundwork for supported information to be presented more descriptively in search results.

Fewer Code Errors

Reduces the need to write JSON by hand and limits syntax and field-mapping errors.

Fast Implementation

Speeds up the process of preparing clean JSON-LD output without requiring technical expertise.

Targeted Outcomes

What Results Does a Schema Markup Generator Aim For?

The goal is not just to produce code; it is to convey the meaning of your content to search engines with an accurate, consistent and processable data model.

Better Understanding

The entities on the page and the relationships between them are clearly defined for search engines.

Data Consistency

Content details are converted into clean JSON-LD output that follows Schema.org standards.

Rich Result Eligibility

The aim is for supported content to appear in search results with enhanced features.

Qualified Clicks

Helps users understand the content more clearly in search results and visit with the right expectations.

Using schema does not guarantee rich result display; it strengthens technical eligibility and content quality.
Technical Validation

What Should a Professional Schema Markup Generator Check?

For valid output, schema type, field formats, content match and search engine policies must be evaluated together with syntax.

Schema Type

Correctness of @context, @type and the selected content model.

Required Fields

Completeness of the required and recommended properties for the selected type.

Data Formats

Validity of URL, date, price, currency, availability and address values.

Object Relationships

Correct setup of nested structures such as author, address, offer and image.

Content Match

The JSON-LD data matching the page content visible to users.

Policy and Testing

Checking for misleading data and testing with a validation tool before publishing.

Four Steps to Use

How Does the Schema Markup Generator Work?

The process starts with choosing the content type and is completed with instant JSON-LD generation and pre-publication validation.

01

Choose the Schema Type

Select the article, product, local business, FAQ, event or person model.

02

Enter Real Information

Fill in the headline, URL, price, address or date fields that open for the selected type.

03

Watch the Output Live

Preview the JSON-LD equivalent of your information that follows Schema.org standards.

04

Copy and Validate

Add the code to your site and check it with the Rich Results Test or the Schema.org Validator.

Your Inputs Turn into Code Instantly

The form fields and the JSON-LD output update simultaneously.

Ready to copy
Creation and Validation

How Do We Manage the Schema Markup Process?

From data entry to publication checks, we manage every stage in a visible, consistent and verifiable workflow.

Active Workflow

System Ready

Identifying the Right Type

The page's purpose and visible content are matched to the appropriate Schema.org model.

Model

Mapping the Fields

Headline, price, address, date and other details are linked to the correct properties.

Data

JSON-LD Generation

Inputs are converted into clean, readable output that follows the standards.

Output

Compliance and Publication Check

Required fields, formats, content match and validation results are reviewed.

Test
Supported Data Types

Which Areas Does the Schema Markup Generator Cover?

It brings together the essential data needed for different page purposes in the appropriate Schema.org structure.

Product Information

Product and offer details are converted into a data model that search engines can process.

BrandSKUPriceStock

Local Business

The business's contact, website and detailed address information are encoded.

PhoneAddressCity

FAQ and Event

Question-and-answer pairs and the event date, venue and link are structured.

FAQDateVenue

Person and Organization

Profile, profession, biography, image and affiliated organization details are defined.

Full NameProfessionOrganization
Implementation Process

How Is Your Schema Code Prepared and Published?

After five stages from selection to validation, you get structured data ready to be applied to your page.

01

Define the Type

Choose the schema model that describes your page correctly.

02

Enter the Details

Add accurate, up-to-date data that is visible on the page to the fields.

03

Review the Output

Check the content of the JSON-LD code generated instantly.

04

Copy

Copy the ready-made code to the clipboard or download it as a JSON-LD file.

05

Add and Test

Apply the code to the page and test it with validation tools.

Result: standards-compliant, verified, deployment-ready JSON-LD output.
Page Type Mapping

Which Schema Type Should You Use on Which Page?

The right schema depends on the main purpose of the page. The table below summarizes where you can use each type the tool generates. For a deeper look at the types, see our guide on what structured data is.

Page typeSchema typeWhat it is for
Blog post, guide, news articleArticleTies details such as headline, author, and publish and update dates to a content page.
Product pageProductDescribes the product name, brand, SKU, price and availability with standard fields.
Local business, branch, officeLocalBusinessConnects the address, phone number, opening hours and location to the business.
Question-and-answer contentFAQPageStructures the question and answer pairs that are visible on the page.
Event, webinar, seminarEventDefines the event date, venue and ticket information.
Author or team member profilePersonSpecifies a person's name, job title, employer and profile link.

If a page needs more than one type, each one must correspond to real content on the page and must not contradict the others.

Publishing and Validation

Steps to Publish and Test Your Schema

Follow this order to add the generated JSON-LD code to your page and test it before launch.

1. Place the code in a script tag

Add the tool output to the HTML of the relevant page inside a <script type="application/ld+json"> tag. The code on the right shows a generic example.

2. Match it to the visible content

The headline, price, author or question-and-answer text in the schema must be consistent with the content users actually see on the page.

3. Test it with validation tools

Check the page URL or the code in Google's Rich Results Test and in the Schema.org validator (Schema Markup Validator), then fix any errors and warnings.

4. Publish and monitor

After launch, you can check the page's technical health with SEO Site Analysis and see how the title and description look in search results with the SERP Preview Tool.

Example: Article JSON-LD
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Sample Article Title",
  "author": { "@type": "Person", "name": "Sample Author" },
  "publisher": { "@type": "Organization", "name": "Örnek Şirket" },
  "datePublished": "2026-01-15",
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://www.ornek.com/blog/ornek-yazi"
  }
}
</script>
Schema does not guarantee rich results; eligibility is up to Google. Google has restricted FAQ rich results, so use FAQ schema to describe your content clearly rather than to expect a particular display. For complex setups, our Structured Data Optimization service can help.
Things to Watch

Common Schema Markup Mistakes

Marking up content that is not on the page

Adding questions, ratings or prices that users cannot see goes against Google's guidelines.

Leaving required fields empty

If the properties needed for the chosen type are missing, validation will show errors or warnings.

Conflicting schemas on the same page

Several schemas with different prices, names or addresses for the same entity confuse search engines.

Using outdated or broken JSON

A missing comma, an unclosed bracket or old code that was never updated can prevent the schema from being read.

Frequently Asked Questions

Schema Markup Generator FAQ

Read the answers to the most frequently asked questions about creating, applying and validating schema code.

What is a Schema Markup Generator?

It is a free structured data tool that converts the information on your page into the JSON-LD format that search engines can understand.

Which schema types can I generate?

You can generate JSON-LD code for article, product, local business, FAQ page, event and person schemas.

Where should I add the JSON-LD code?

You can add the generated code to the head or body section of the relevant page.

Does schema markup directly improve rankings?

It does not directly guarantee rankings; however, it helps search engines understand the content and makes the page eligible for rich results.

How can I validate the code?

After adding the code to your page, you can check it with the Google Rich Results Test or the Schema.org Validator.

What is JSON-LD?

It is a method of presenting structured data in a readable JSON format that is separate from the page's visible HTML content.

Do I have to fill in all the fields?

No. The required fields are enough; however, complete information helps search engines understand the content better.

Is the Schema Markup Generator free?

Yes. You can generate, copy and download the code for the supported schema types for free.

Does schema code guarantee rich results?

No. Valid code only provides eligibility; Google decides whether to display rich results based on signals such as content quality and the query.

Can more than one schema be used on a page?

Yes. Multiple schema types that match the visible content and do not contradict each other can be used on the same page.

How do I add schema code to WordPress?

You can paste the code, wrapped in a <script type="application/ld+json"> tag, into a custom head field offered by your theme or a plugin, or into a custom HTML block in the page editor. If you use a plugin, make sure it does not generate a second schema of the same type.

Should I use JSON-LD or Microdata?

Both can mark up Schema.org data. JSON-LD sits in a separate block from the page's HTML, which makes it easier to add and update, and Google recommends using JSON-LD.

Professional Schema Support

Let's Strengthen Your Structured Data for Search Engines

Let's fix schema errors, build the right JSON-LD architecture for your pages and get your implementation ready for launch with validation tests.

Right JSON-LD ArchitectureA structure suited to the page and content type
Error and Warning ChecksTechnical validation before publishing
Sustainable ImplementationAn extensible data model