AVAILABLE FOR WEB, FLUTTER & QA PROJECTS

How to use this tool

1. Paste JSON-LD or Load Sample

Paste your raw `<script type='application/ld+json'>` snippet or select from pre-built Schema templates (Organization, Article, WebApplication, FAQPage).

2. Real-Time Schema Audit

The validator validates JSON syntax and checks mandatory Schema.org properties according to official Google documentation.

3. Inspect Warnings & Errors

Review highlighted line errors, invalid nesting, missing datePublished formats, or missing author attributes.

4. Copy Validated Code

Export formatted, error-free JSON-LD structured data ready for immediate deployment to your website.

Formula or logic used

Schema.org & Google Rich Results Criteria

Structured data enables Google to understand page semantics and award rich results (rich snippets, knowledge panels, FAQs, and software badges) in SERPs.

  • Syntax Validation: Payload must parse as valid, strictly-formed JSON (quotes around keys, no trailing commas).
  • Context Declaration: Must declare `@context: 'https://schema.org'` at the root or within graph nodes.
  • Type Definition: Must declare recognized Schema.org `@type` (e.g. Article, WebApplication, FAQPage, Organization).
  • Google Rich Results Mandatory Fields: Articles require headline + datePublished + author; WebApplications require name + offers.

Examples

Example 1: WebApplication Schema

Input: JSON-LD defining a software application with name, url, and free offer pricing.
Calculated Result: Verdict: 100% Valid. Compliant with Google SoftwareApplication rich result criteria.

Enables search engines to display application categories and free download badges directly in search snippets.

Example 2: Malformed FAQPage Schema

Input: FAQ snippet with trailing comma on the final answer array item.
Calculated Result: Syntax Error: JSON parse error at line 18 (trailing comma). Googlebot will fail to parse the structured data.

Highlights exact syntax failures before code is pushed to production environments.

Common use cases

Google Rich Results Qualification

Ensure blog posts and software tools qualify for Google featured snippets and knowledge graph cards.

Next.js JSON-LD Component Testing

Audit server-rendered schema scripts before deploying to Vercel.

Entity SEO & Knowledge Panel Building

Structure Organization and Person schema to establish recognized topical authority in Google's Knowledge Graph.

CMS Schema Plugin Auditing

Inspect output from WordPress schema plugins (Rank Math, Schema Pro) for hidden syntax errors.

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Frequently asked questions

What is the difference between JSON-LD and Microdata?

JSON-LD is a script-based JavaScript format placed inside a `<script type='application/ld+json'>` tag, cleanly separating structured data from HTML markup. Microdata embeds schema attributes directly into HTML tags. Google officially recommends JSON-LD as the preferred format.

Does valid schema guarantee a Google Rich Snippet?

No. Valid schema is a prerequisite for rich results, but Google's ranking algorithms decide whether to display rich snippets based on user search intent, content quality, domain authority, and relevance.

Can I include multiple schemas on a single page?

Yes. You can bundle multiple entities on a single page using a `@graph` array (e.g. combining `WebPage`, `BreadcrumbList`, `Article`, and `Organization` in a single JSON-LD block).

Are trailing commas permitted in JSON-LD?

No. JSON-LD follows standard JSON syntax specifications. Trailing commas after the final key-value pair or array item will cause parsers to fail, preventing Google from reading your structured data.

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