Advanced Structured Data Checker Calculator

Check schema types, required fields, warnings, and syntax. Score markup quality using weighted validation factors. Review errors, export reports, and visualize technical health instantly.

Calculator Input

Paste valid JSON-LD only. This checker analyzes structure, coverage, syntax, and consistency signals.

Example Data Table

Schema Type Required Fields Recommended Fields Typical Goal
Article headline, author, datePublished image, description, publisher News and editorial visibility
Product name, image, offers brand, sku, rating, review Shopping rich result potential
FAQPage mainEntity name, url Question-based enhancement
LocalBusiness name, address, telephone hours, geo, image, url Local relevance signals

Formula Used

The checker uses a weighted quality model:

Overall Score =
(Mobile Clarity Score × Mobile Weight +
 Required Field Score × Required Weight +
 Recommended Field Score × Recommended Weight +
 Syntax Score × Syntax Weight +
 Consistency Score × Consistency Weight)
÷ Total Weight

Required Field Score = (Required fields found ÷ Required fields expected) × 100

Recommended Field Score = (Recommended fields found ÷ Recommended fields expected) × 100

Syntax Score = 100 when JSON-LD parses correctly, otherwise 0.

Rich Result Readiness blends required coverage, recommended coverage, syntax integrity, and consistency strength for a practical optimization view.

How to Use This Calculator

  1. Paste your JSON-LD markup into the schema box.
  2. Optionally enter the page URL and page title.
  3. Select an expected schema type or leave auto-detect enabled.
  4. Adjust the scoring weights if your audit priorities differ.
  5. Submit the form to see scores, missing fields, warnings, and chart output.
  6. Download the report as CSV or PDF for documentation.

Frequently Asked Questions

1. What does this checker evaluate?

It reviews JSON-LD syntax, required property coverage, recommended property coverage, page consistency, and practical markup quality signals for search-focused audits.

2. Does a high score guarantee rich results?

No. A strong score improves confidence, but search engines still decide eligibility based on policy, crawlability, content quality, and query intent.

3. Can I check multiple schema nodes?

Yes. The checker reads arrays and graph structures, counts detected nodes, and evaluates the primary node against the selected or detected schema type.

4. Which markup format works here?

This version is designed for JSON-LD input. It does not directly parse Microdata or RDFa without first converting them into JSON-LD.

5. Why are recommended fields important?

Recommended fields often improve context, display quality, and search confidence. They may not be mandatory, but they frequently strengthen structured data usefulness.

6. What lowers the consistency score?

Missing context, missing type, weak alignment between page details and schema details, and structural issues such as non-sequential breadcrumb positions can reduce it.

7. Why export reports as CSV or PDF?

Exports help with client reporting, team review, quality tracking, issue handoff, and historical comparison across multiple pages or audits.

8. Can I customize scoring priorities?

Yes. You can change the weights for mobile clarity, required fields, recommended fields, syntax, and consistency before running the analysis.

Related Calculators

microdata checkerfaq schema checkeropen graph tag testerjson-ld validatorrich snippet validatorbreadcrumb schema validator

Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.