Schema Markup Validator: Validate JSON-LD Structured Data | Free
16 usesSchema Validation Tips
Validate JSON-LD Structure
Check that your JSON-LD schema markup is valid JSON with proper @context and @type fields.
Missing Field Warnings
Get warnings for recommended fields that are missing for each schema type (Article, Product, FAQ, etc).
Format & Prettify
Auto-format your JSON-LD with proper indentation for easier reading and editing.
Browser-Based
All validation happens locally. Your schema data is never sent to any server.
Frequently Asked Questions
What is JSON-LD schema markup?
JSON-LD is a format for implementing Schema.org structured data on web pages, helping search engines understand your content for rich snippets.
What schema types are supported?
Our validator checks Article, Product, LocalBusiness, FAQPage, WebApplication, Organization, Person, Event, Recipe, and VideoObject types.
Does this replace Google's Rich Results Test?
This tool validates JSON syntax and checks for recommended fields. For full rich results eligibility, also use Google's Rich Results Test.
Is this validator free?
Yes, completely free.
How do I interpret the warnings and errors from the schema markup validator?
Our Schema Markup Validator clearly flags syntax errors and missing required fields in your JSON-LD. Warnings usually indicate optional but recommended fields that, when added, can enhance your schema's potential for rich snippets. Always prioritize fixing errors first, then review warnings to optimize your structured data. Use the tool's feedback to refine your markup, ensuring it accurately reflects your content and meets Schema.org guidelines for better search engine understanding and rich result eligibility.
Why use an online schema validator instead of browser developer tools?
Our online Schema Markup Validator offers specialized checks beyond basic JSON syntax validation found in browser developer tools. It identifies missing required fields, warns about recommended but absent properties crucial for rich snippets, and validates against Schema.org guidelines for various types like Article or Product. This focused analysis ensures your structured data is correct and optimized for search engine understanding, saving developers time.
How can I check specific fields for a product schema?
Paste your product's JSON-LD into the validator. It will then highlight any missing *required* fields, like 'name' or 'offers'. You'll also see suggestions for important *recommended* fields, such as 'image' or 'description', helping you provide complete information.
Can I validate schema markup that uses microdata or RDFa instead of JSON-LD?
No, this validator only processes JSON-LD format. Microdata and RDFa require different parsing logic entirely. If you're migrating from those older formats, you'll need to convert your markup first. Many SEO tools offer conversion scripts. The good news: JSON-LD is Google's preferred format and simpler to maintain across multiple pages.
Does my page need schema markup if I already have SEO meta tags?
Meta tags and schema markup serve different purposes. Meta tags tell browsers about your page, while schema markup tells search engines what your content actually means. For example, a meta description just shows a text snippet, but Product schema can display price and availability directly in search results. You'll want both for best results. Start with schema on your most important pages first.
How to Validate Schema Markup
- Paste your JSON-LD code into the input area
- Click Validate to check structure and fields
- Review any warnings for missing recommended fields
- Use Format to prettify the JSON-LD code