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JSON-LD Schema Validator

Validate JSON-LD syntax, detect schema types, review required and recommended fields, and pretty-print markup locally.

JSON-LD validation workspace

Check JSON syntax, detect schema types, and review common field guidance locally.

About This Tool

The Schema Validator checks whether pasted JSON-LD is valid JSON, detects @type values, pretty-prints the document, and reviews common required and recommended fields for popular schema types. It supports standalone objects, arrays of objects, and @graph documents.

The field review is a practical local guide rather than a search-engine certification. Rich-result requirements change and can depend on page content, eligibility rules, and policies outside the JSON-LD itself.

ToolPool runs this utility in your browser, so your input stays on your device and is not uploaded to our server.

How To Use This Tool

  1. 1Paste JSON-LD into the editor or load the sample Product schema.
  2. 2Review JSON syntax, detected schema types, and missing field warnings.
  3. 3Pretty-print or copy the formatted schema after making corrections.

Benefits

Catch malformed JSON before structured data is published.
Detect common schema types and omissions without an external request.
Format dense JSON-LD into readable, copy-ready markup.

Common Use Cases

  • Reviewing Product, Article, FAQPage, or LocalBusiness markup.
  • Checking generated schema before adding it to a template.
  • Inspecting multiple entities inside an @graph document.
  • Formatting structured data copied from page source.

Workflow Tips

Schema Validator is designed for quick browser work, but it is still worth reviewing the result before you use it in a live project, client document, public page, or production workflow. Keep an original copy of important source material, compare the output with what you expected, and repeat the task with slightly different settings when quality, formatting, or accuracy matters.

For larger workflows, pair this page with Schema Markup Generator, JSON Validator, JSON Formatter, Meta Tag Generator. Moving between related utilities can save time when you need to clean source data, prepare web assets, create supporting IDs, check calculations, or package output for another system. Internal links also make it easier to stay in one private workspace instead of jumping between several single-purpose sites.

The local processing model helps protect sensitive content because ToolPool does not need to receive your files, text, or form values to complete the task. Good privacy habits still matter after the result leaves the page: avoid pasting unnecessary secrets, check downloaded files before sharing them, and clear the workspace when you are finished on a shared computer.

FAQ

Does this validate JSON syntax?

Yes. Invalid JSON is reported before schema fields are inspected.

Which schema types have field guidance?

The local guide covers common types including Article, BlogPosting, FAQPage, Product, LocalBusiness, WebSite, BreadcrumbList, Organization, Person, Event, Recipe, and HowTo.

Does a clean result guarantee rich-result eligibility?

No. Search engines apply additional content, policy, and eligibility rules that this browser-only checker cannot fully reproduce.

Can it validate @graph markup?

Yes. It detects schema objects inside a top-level @graph and applies the inherited @context.

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