Schema Markup Generator
This tool generates valid JSON-LD structured data for your web pages. Select a schema type, fill in your page details, and the tool outputs ready-to-paste markup that search engines use to create rich results like FAQ dropdowns, star ratings, and event listings in Google search.
100% client-side. Your schema fields stay in your browser (ons-schema-generator-inputs).
Questions and answers
Pair 1
Pair 2
JSON-LD preview
{
"@context": "https://schema.org",
"@type": "FAQPage",
"url": "https://example.com/faq",
"mainEntity": [
{
"@type": "Question",
"name": "What does this tool do?",
"acceptedAnswer": {
"@type": "Answer",
"text": "It builds JSON-LD you can paste into your page head."
}
},
{
"@type": "Question",
"name": "Is my data sent to a server?",
"acceptedAnswer": {
"@type": "Answer",
"text": "No. Generation runs in your browser."
}
}
]
}HTML snippet
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"url": "https://example.com/faq",
"mainEntity": [
{
"@type": "Question",
"name": "What does this tool do?",
"acceptedAnswer": {
"@type": "Answer",
"text": "It builds JSON-LD you can paste into your page head."
}
},
{
"@type": "Question",
"name": "Is my data sent to a server?",
"acceptedAnswer": {
"@type": "Answer",
"text": "No. Generation runs in your browser."
}
}
]
}
</script>How this tool works
The schema markup generator builds JSON-LD structured data blocks in the Schema.org vocabulary, the format recommended by Google, Bing, and Yahoo for communicating page content to search engines. You select a schema type (Article, FAQ, HowTo, Product, LocalBusiness, BreadcrumbList, or Event), fill in the type-specific fields, and the tool outputs a script tag with type='application/ld+json' ready to paste into the HTML head. FAQ schema uses Question and Answer pairs; HowTo schema uses Step objects with name, text, and optional image; Product schema includes offers, price, currency, and availability. The tool validates required fields against Google's rich result requirements and flags any missing properties that could prevent a rich result from triggering. Key assumption: valid JSON-LD syntax does not guarantee a rich result will appear because Google evaluates schema in the context of the entire page, and structured data on low-quality pages is typically ignored regardless of technical validity. Edge case: nesting errors are the most common implementation mistake. The tool enforces correct parent-child relationships in the generated output, but if you manually edit the JSON afterward, validate the final block with Google's Rich Results Test before deploying to production.
Worked example
A SaaS pricing page has a FAQ section with three questions. Select FAQPage, add each question and answer, and the tool generates the complete JSON-LD block. Paste it inside a script tag in the page head, then validate in Google's Rich Results Test to confirm eligibility for FAQ rich results in the SERP.
Frequently asked questions
What schema types does this tool support?
The tool supports 12 types: Article, Product, LocalBusiness, FAQPage, HowTo, Event, Recipe, Organization, Person, BreadcrumbList, VideoObject, and WebApplication. These cover the most commonly used structured data types for web content and e-commerce.
Is my data sent to a server?
No. The tool runs entirely in your browser. Your business name, address, URLs, and all other inputs are processed locally using JavaScript. No network requests are made and no data is stored.
Does the generated markup guarantee rich results?
No. Valid structured data is a prerequisite for rich results, not a guarantee. Google decides whether to display rich results based on the content quality, page authority, and schema correctness. The tool ensures the markup is valid; ranking decisions are Google's.
What is JSON-LD and why use it over Microdata?
JSON-LD (JavaScript Object Notation for Linked Data) embeds structured data as a separate script block in your HTML. Unlike Microdata, it does not require modifying your existing HTML elements, making it easier to add, update, and maintain. Tracking this metric alongside conversion data gives a more complete picture of how changes affect actual business outcomes.
Does the tool validate against Google's specific requirements?
Yes. The tool checks for the required fields that Google mandates for each schema type. For example, Product schema requires a name field and FAQPage requires at least one question-answer pair. Missing required fields are flagged before you copy.
Can I edit the generated JSON-LD before copying?
Yes. The output area is editable. You can modify values, add properties that the form does not cover, or nest additional types. The tool does not re-validate after manual edits, so use the Rich Results Test to check your final version.