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Free Schema Markup Validator

Structured data only helps if it's actually valid — and JSON-LD fails quietly. A missing required field or a malformed FAQ answer doesn't break your page visually; it just silently stops machines from using your markup. This tool validates JSON-LD directly, either pasted in or extracted live from any URL.

Why it matters for AI search: schema markup is one of the clearest signals a page can send about what its content is — this is an FAQ, this is a how-to with these steps, this article was published on this date by this author. AI systems use these signals the same way search engines do: to extract facts confidently instead of inferring them. But invalid markup is worse than useless; a FAQPage whose questions have no acceptedAnswer, or an Article without a headline, gets ignored — and you won't know unless you check.

How this tool works: paste raw JSON-LD (starting with { or [), paste full page HTML containing <script type="application/ld+json"> blocks, or enter a URL to fetch through our proxy. The validator unpacks every schema it finds — including @graph wrappers and arrays — and checks each one for: a valid @context and @type, the required fields for its type (e.g. headline for Article, mainEntity for FAQPage, name and step for HowTo), and recommended fields whose absence limits usefulness (like author and datePublished on articles). FAQPage markup gets deeper checks: every entry must be a Question with a properly structured Answer. Results are grouped per schema with errors and warnings clearly separated.

Limitations: this validator checks structural correctness against schema.org conventions — it doesn't replicate Google's rich-result eligibility rules (which change frequently and are feature-specific), verify that your markup matches your page's visible content, or validate Microdata/RDFa formats (JSON-LD only, which is the format Google recommends and virtually all modern tooling generates). For markup you're about to publish, validate here first, then confirm rich-result eligibility in Google's own test. To generate valid markup from scratch instead of debugging it, use our FAQ Schema Generator or Article & HowTo Schema Generator — their output passes this validator by construction.

Frequently asked questions

What schema types does this validator check?

It detects any JSON-LD type and runs required/recommended field checks for the most common ones: FAQPage, Article (and News/Blog variants), HowTo, Product, Organization, BreadcrumbList, LocalBusiness, Recipe, Event, JobPosting, VideoObject, and WebApplication.

What's the difference between an error and a warning?

Errors are missing required fields or malformed structures that can make the schema invalid or unusable (like an FAQ question without an answer). Warnings are missing recommended fields — the schema still works, but adding them makes it more useful to search engines and AI systems.

Can I validate a live page instead of pasting code?

Yes — use the 'Check a URL' tab and the tool fetches the page through our proxy and extracts every JSON-LD script block automatically.

Is this the same as Google's Rich Results Test?

It's complementary. Google's tool checks eligibility for specific Google rich-result features; this tool checks structural validity and completeness of the JSON-LD itself, works on raw pasted code before you publish, and doesn't require the page to be live.

Does it support @graph and multiple schema blocks?

Yes — pages with several script tags, arrays of schema objects, or an @graph wrapper are unpacked and each schema validated individually.

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