Free Tool

Schema Markup Validator

Validate JSON-LD schema markup, inspect live pages, and spot missing fields before your structured data goes live.

JSON-LD checkerHTML schema parserSEO QA

What is a schema markup validator?

A schema markup validator checks whether the structured data on a page is present, parseable, and shaped in a way search engines can understand. In practice, that usually means reviewing JSON-LD for missing fields like @context, @type, product offers, article authors, or FAQ answers.

This matters because structured data often fails silently. A page can render normally while still shipping broken JSON, incomplete schema blocks, or markup that no longer matches what Google or other parsers expect. Catching those issues before publishing is much easier than diagnosing why a rich result never appears.

This free schema markup validator focuses on practical QA. You can paste JSON-LD directly, paste full HTML to extract embedded schema, or inspect a live URL and review each block one by one.

How to use the results

Start with the red items first. Missing required fields usually mean the block is incomplete or structurally broken, while yellow items are improvement opportunities that can strengthen eligibility and data quality.

For example, a product block with name and offers.price present is in much better shape than one missing both. An FAQ block with a question but no acceptedAnswer.text will still parse as JSON, but it is not useful markup.

Healthy product block

{
  "@type": "Product",
  "name": "Trail Runner 2",
  "offers": {
    "price": "119.00",
    "priceCurrency": "USD"
  }
}

This gives parsers the core entity and the commercial data they usually need to understand the listing.

FAQ block with a gap

{
  "@type": "FAQPage",
  "mainEntity": [
    { "@type": "Question", "name": "Do you ship abroad?" }
  ]
}

The validator will flag the missing accepted answer so you can fix the block before publishing.

Common use cases

Pre-publish QA for ecommerce product pages and merchant listing markup.
Auditing article, blog, and newsroom templates after a CMS change.
Checking FAQ, breadcrumb, and organization schema during technical SEO reviews.
Comparing live production markup against the JSON-LD your templates are supposed to render.
Reviewing client sites before a migration, redesign, or schema plugin replacement.

FAQ

What does this free schema markup validator check?

It checks whether JSON-LD can be parsed, whether each block has basic structure, and whether common fields for major schema types are present or missing.

Can I validate full HTML instead of raw JSON-LD?

Yes. Paste a full HTML document and the tool will extract embedded application/ld+json scripts before validating them.

Does this schema checker work on live URLs?

Yes. URL mode fetches the page, extracts JSON-LD, and reports issues for each schema block it finds.

Is this the same as Google Rich Results Test?

No. This tool is a practical QA layer for common JSON-LD issues. It is useful before or alongside Google-specific testing, but it is not a full replacement for Google's own rich result tooling.

Why does my schema markup parse but still show warnings?

Valid JSON is only the first step. Search engines also need enough context and fields to understand the entity, so a block can parse correctly while still being incomplete.

Can this validator check microdata schema markup?

It can detect that microdata exists, but the detailed validation here is focused on JSON-LD because that is the format most teams paste, debug, and ship today.