Schema Validator
Paste JSON-LD structured data to identify syntax errors, structural issues and common warnings before publishing.
- Real-time JSON and JSON-LD validation
- Review of contexts, types, nodes and properties
- Formatted JSON ready to copy
- Processing only in your browser
Structured data validation
The content is analyzed as text. No pasted tag or script is executed.
Validation summary
Paste structured data to start the analysis.
Detected types: none yet.
Issues and observations
Errors, warnings and information will appear here in an organized list.
Formatting appears only when the JSON can be parsed. The original text is not changed.
This is a local syntax and structure check. It does not access URLs, query external services or test rich result eligibility.
What is Schema markup?
Schema.org is a vocabulary for describing entities and relationships on a page. JSON-LD is a common way to publish that structured data in a script block without changing the visible page content.
What this validator checks
The tool analyzes JSON syntax and basic JSON-LD structural
signals such as @context, @type,
@id and @graph. It also identifies empty
properties, placeholder values, suspicious URLs and potentially
incomplete markup.
Valid syntax does not guarantee a rich result
Valid JSON-LD is only one part of an implementation. This validator does not replace Google's Rich Results Test, the Schema Markup Validator, Search Console or inspection of a published URL. Error-free markup does not guarantee rich result eligibility or display.
Common structured data errors
Invalid JSON
Missing commas, trailing commas and unclosed braces prevent the markup from being parsed.
Missing context or type
Without @context or @type, the
vocabulary and described entity are harder to interpret.
Typographic quotes and trailing commas
JSON requires straight double quotation marks and does not allow a comma after the last item in a list or object.
Empty properties
Empty, null or placeholder values can leave markup incomplete even when the JSON is valid.
Incompatible types
Keywords such as @type and
@graph expect specific formats. Review the type
of each value.
Disconnected blocks
Repeated nodes or nodes without clear relationships can create confusing signals. Use consistent identifiers when needed.
Incorrect expectations
Valid JSON-LD does not mean a rich result will be displayed. Product and content requirements also matter.
Practical implementation guidance
- Describe data that exists and is visible on the page.
- Use final, consistent URLs, preferably with HTTPS.
- Remove placeholder values before publishing.
- Review the specific requirements for the Schema type you are implementing.
Frequently asked questions
What does the Schema Validator check?
It checks JSON, basic JSON-LD structure, important keywords and common quality warnings. It does not validate every requirement for every Schema.org type.
Does valid JSON-LD guarantee a Google rich result?
No. Eligibility depends on the content type, policies, the published page and search engine criteria.
Can I paste the complete script tag?
Yes. When the tag uses
type="application/ld+json", the tool extracts only
the JSON content for analysis without executing anything.
Does the pasted content leave my browser?
No. Analysis, formatting and copying happen locally in your browser.
What is the difference between Schema.org and JSON-LD?
Schema.org defines the vocabulary of types and properties. JSON-LD is the format that represents that structured data as JSON.
Should I still use Google's Rich Results Test?
Yes, when it applies to the content type. Use this tool for a local review before testing the published page with specialized tools.