About this tool
Validate structured data before release so schema markup generators, CMS exports, and hand-written JSON-LD do not ship with avoidable syntax or field issues.
Schema Validator parses and validates JSON-LD structured data against Schema.org specifications, checking for required properties, correct nesting, valid types, and well-formed JSON syntax. It gives you a fast pre-publish sanity check that catches errors CMS plugins and manual edits commonly introduce.
- Parses JSON-LD objects, arrays, and @graph payloads directly in the browser.
- Checks required fields for common schema types like Article, FAQPage, Product, Organization, and BreadcrumbList.
- Outputs normalized JSON-LD you can copy back into production after fixing issues.
How to use Schema Validator
Paste your JSON-LD block into the editor, and the tool validates syntax, verifies that @type values exist in the Schema.org vocabulary, and checks whether required and recommended properties are present. Errors and warnings are listed with explanations so you can fix them before the markup goes live.
When this tool is useful
- Validate JSON-LD generated by your CMS or schema generator before publishing.
- QA article, FAQ, product, or organization markup during a technical SEO review.
- Normalize and inspect structured data copied from multiple plugins or templates.
- Compare hand-written schema against what plugins or CMS fields actually export.
Practical tips
- Treat this as a fast pre-publish check, then verify live pages in external rich result testing tools when eligibility matters.
- Keep URLs absolute and required fields complete before worrying about richer optional properties.
- If your page uses multiple schema nodes, validate the combined @graph instead of isolated fragments.
- Use one final normalized copy as the source of truth so multiple teams are not editing divergent schema snippets.
Examples you can test
These examples show the kind of real input and reviewed output this tool is designed to support. Use them as a starting point before pasting your own production content, then compare the output with the destination system that will use the result. The goal is not only to produce a value, but to make the input assumptions, output format, and review step clear enough that the result can be trusted in a real workflow.
Validate FAQ JSON-LD
Example input
FAQPage schema copied from a page template
Expected output
Valid JSON-LD or field-level errors
Schema validation catches syntax and required-field issues before publishing.
Find malformed JSON
Example input
{ "@context": "https://schema.org", }Expected output
JSON parse error
A single trailing comma can invalidate the entire structured data block.
Validation checklist
Run through these checks before copying the result into a CMS, codebase, spreadsheet, campaign, support ticket, or production document. Small formatting differences, unit assumptions, hidden whitespace, and platform-specific rules are common sources of mistakes in quick browser tools, so the final review should happen in the same context where the output will be used.
- Validate syntax before checking schema semantics.
- Make sure structured data matches visible page content.
- Re-test after deployment because templates can alter JSON-LD.
Why people use this tool
Invalid structured data silently disqualifies pages from rich results in search, costing you enhanced visibility like star ratings, FAQ dropdowns, and product details. Since search engines do not surface schema errors to site owners in real time, validating before publication is the only reliable way to protect your rich result eligibility.
Related search intents
schema validator, json ld validator, structured data validator, schema markup validator, validate article schema.