Free Schema Markup Checker

Schema Markup Checker for SEO structured data before publishing

Paste JSON-LD, Microdata snippets or full HTML into the Schema Markup Checker to identify common Article, Product, FAQPage, BreadcrumbList, Organization, LocalBusiness, WebSite and WebPage markup issues. The tool focuses on practical SEO structured data checks, not general JSON formatting.

Browser-side structured data audit

Paste markup into the Schema Markup Checker

The Schema Markup Checker parses JSON-LD scripts, raw JSON-LD and Microdata locally, then reports detected schema types, missing fields, incomplete FAQ markup, breadcrumb hierarchy warnings and duplicate schema patterns.

Your pasted markup stays in this browser tab. The Schema Markup Checker does not upload code or fetch the live URL.

Structured data results will appear here

Paste JSON-LD, Microdata or HTML to see detected schema types, JSON-LD parse status, missing common fields and review warnings for structured data quality.

How the Schema Markup Checker reviews structured data

This checker focuses on what pasted source can show reliably: parseable JSON-LD, Microdata types, common schema fields, duplicate entities and practical SEO markup warnings.

Source parsing

Paste raw JSON-LD, script blocks, Microdata snippets or a full HTML document. The checker extracts schema nodes locally and identifies common types such as Article, Product, FAQPage and BreadcrumbList.

Check structured data Use the guide
Schema Markup Checker interface parsing JSON-LD and showing detected Article Product FAQPage and BreadcrumbList types

Issue details

The report flags missing @context, @type, name, url, image, author, datePublished and itemListElement fields, plus empty values, duplicate schema, URL format warnings and incomplete FAQ data.

Review issues Browse tools
Schema Markup Checker report showing missing context image warnings duplicate schema URL warning FAQ and breadcrumb issues

Publishing workflow

Use the checker before publishing, after CMS template edits or when rich structured data looks inconsistent. Fix the markup, paste it again and compare the updated report.

Recheck markup Open directory
Schema Markup Checker workflow showing paste markup find issues and recheck steps for SEO structured data

Schema Markup Checker features for SEO structured data

Use this tool when the markup already parses as JSON but still needs an SEO-focused review for schema quality and common publishing mistakes.

JSON-LD parse status

Confirm whether JSON-LD blocks are parseable, then move beyond syntax into schema type and field checks.

Check JSON-LD

Known Schema type detection

Identify Article, BlogPosting, Product, FAQPage, BreadcrumbList, Organization, LocalBusiness, WebSite and WebPage items.

Detect types

Common field review

Review missing or empty @context, @type, name, url, image, author, datePublished and itemListElement values.

Review fields

Duplicate schema warnings

Find schema items that appear to describe the same URL or name so templates do not publish conflicting entities.

Find duplicates

FAQ and Breadcrumb checks

Spot incomplete FAQ question and answer structures, plus BreadcrumbList items with missing names, URLs or skipped positions.

Check structures

URL and image review

Flag relative or malformed URL-like values and missing image fields that commonly weaken structured data quality.

Review URLs

How to use the Schema Markup Checker before publishing

This tool is built for pasted markup from templates, CMS previews and rendered source, so private staging code can be reviewed without a server-side crawl.

01

Paste source into the checker

Copy raw JSON-LD, the script block from page source, a Microdata snippet or the full rendered HTML document. Full HTML lets the checker compare JSON-LD and Microdata in one pass.

  • Supports raw JSON-LD, script tags, Microdata snippets and full HTML
  • Best for pre-publish checks, template QA and handoff reviews
Paste markup
02

Review structured data warnings

Start with JSON-LD parse errors and missing @type, then review missing common fields, empty values, duplicate schema, URL format warnings, FAQ structure and breadcrumb hierarchy.

This is a practical browser-side review. Search engines can apply additional eligibility, content and policy rules beyond what pasted source can prove.

Review report
03

Run the checker again after fixes

Update your template or CMS fields, paste the latest rendered markup back into the tool, and confirm that common structured data issues are resolved before official testing or publishing.

Keep structured data consistent with visible page content; mismatched or hidden content can create quality issues even when syntax is valid.

Recheck schema

Schema Markup Checker FAQ

Answers about accepted input, privacy, JSON Checker differences, accuracy limits and how to interpret the results.

What does the Schema Markup Checker validate?

It parses pasted JSON-LD, Microdata and HTML, identifies common schema types and reports practical structured data issues such as missing fields, empty values, duplicate schema, incomplete FAQPage data, BreadcrumbList hierarchy warnings, URL format problems and missing image fields.

How is this different from the JSON Checker?

The JSON Checker focuses on JSON syntax, formatting, minifying, duplicate keys and trailing commas. This tool focuses on SEO structured data quality after or alongside syntax parsing, including schema types, @context, @type, name, url, image, author, datePublished and itemListElement checks.

Can this guarantee Google Rich Results Test approval?

No. It helps you find common structured data issues before official testing, but it is not an official Google validator and does not guarantee rich result eligibility.

Does this tool upload my markup?

No. The current tool checks pasted source in your browser tab. It does not fetch your URL, upload staging code or store the markup you paste.

What input should I paste?

Paste raw JSON-LD, a script type="application/ld+json" block, Microdata markup or full rendered HTML. Full HTML is helpful when a page mixes JSON-LD and Microdata.

What should I do when a warning appears?

Warnings usually mean the markup is parseable but worth reviewing. Check whether the missing field applies to that schema type, use absolute URLs where possible, fill empty fields, remove duplicates and keep FAQ and breadcrumb structures complete.

Use the Schema Markup Checker before structured data goes live

Paste the latest rendered markup, fix parse errors and review warnings, then run the checker again before official validation or publishing.

Open Schema Markup Checker Browse all tools

This is a practical preflight for common structured data issues, not a guarantee of search feature eligibility.