Schema Markup Validator Tool
Validate JSON-LD and visualize the data in a clean table. This tool performs JSON-LD Syntax Validation (catching broken code, missing brackets, or quotes) and Structural Validation (checking for required Schema.org keys), which is the most common hurdle for developers.
Schema Markup Validator Tool - Test & Validate Structured Data Easily
The Schema Markup Validator Tool is a powerful online utility that helps you test, validate, and troubleshoot structured data added to your website. It ensures your schema markup follows official standards and is correctly implemented, allowing search engines to better understand and display your content in rich results.
By validating your schema markup before publishing, you can avoid errors, warnings, and missed SEO opportunities.
What Is Schema Markup?
Schema markup is a form of structured data added to HTML that helps search engines interpret the context of your content. It enables enhanced search features such as rich snippets, FAQs, breadcrumbs, product ratings, and knowledge panels.
Common schema formats include:
- JSON-LD
- Microdata
- RDFa
Among these, JSON-LD is the most widely recommended and supported format.
Why Use a Schema Markup Validator Tool?
Incorrect or broken schema markup can prevent search engines from showing rich results even if the data is present. A Schema Markup Validator Tool helps identify issues quickly and accurately.
Key Features of the Schema Markup Validator Tool
- Smart Cleaning: Users often copy the full
<script type="application/ld+json">...</script>block. - The Reset button automatically strips these HTML tags before validating, so the JSON parser doesn't crash on HTML syntax.
- Error "Humanization": Standard browser JSON errors (like
Unexpected token }) are confusing. - The logic catches the error and provides "Common causes" like missing commas or trailing commas (the #1 mistake in Schema writing).
- Visual Feedback: Green: Valid syntax & structure. Yellow: Valid JSON, but missing @context or @type. Red: Broken JSON (Code will crash page).
The tool includes a Parser Engine. When valid Schema is detected, it now generates a clean, readable data table below the validation status. This handles nested objects (using dot notation like author.name) and arrays automatically.
It recursively walks through the JSON. It detects if a property is a Nested Object (e.g., author inside Article) and flattens it using dot notation (e.g., author.name). It detects Arrays and formats them nicely.