JSON-LD Schema Validator free, instant.
Validate JSON-LD structured data for proper JSON syntax, Schema.org compliance, and required fields per @type. Supports Article, Product, FAQPage, Organization, BreadcrumbList, LocalBusiness, and more. Prettifies and formats output.
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What Is a JSON-LD Validator?
A JSON-LD validator is a tool that checks your structured data markup for syntax errors, Schema.org compliance, and rich result eligibility. JSON-LD (JavaScript Object Notation for Linked Data) is Google’s recommended format for embedding structured data in web pages — it tells search engines exactly what your content is about, enabling rich snippets like star ratings, FAQ accordions, product prices, and event details directly in search results. Our validator parses your JSON-LD blocks, verifies that all required and recommended properties are present, and flags any issues that would prevent Google from generating rich results.
Structured data errors are surprisingly common and often invisible to website owners. A missing comma in your JSON syntax, an incorrect @type value, or a required property that’s absent can silently prevent your pages from earning rich results — costing you clicks and visibility without any warning. Our JSON-LD Validator catches these issues instantly, validates against the Schema.org vocabulary, checks for deprecated properties, and ensures your markup meets Google’s rich result requirements. Whether you’re implementing Article, Product, FAQPage, LocalBusiness, or BreadcrumbList schemas, this tool ensures your structured data is flawless before deployment.
How to Use the JSON-LD Validator
- Step 1
Paste Your JSON-LD Code
Copy the JSON-LD structured data from your page’s <script type="application/ld+json"> block and paste it into the validator input. You can also paste raw JSON-LD you’re developing before adding it to your site.
- Step 2
Validate Syntax
The tool first checks for valid JSON syntax — missing commas, unclosed brackets, incorrect quoting, and other formatting errors that would prevent any parser from reading your structured data.
- Step 3
Check Schema.org Compliance
After syntax validation, the tool verifies that your @type values exist in the Schema.org vocabulary, that required properties are present, and that property values match expected data types.
- Step 4
Review Rich Result Eligibility
See which Google rich result types your markup qualifies for based on the schema type and properties present. The tool flags missing recommended properties that could enhance your rich result appearance.
- Step 5
Fix Reported Issues
Address any errors or warnings highlighted by the validator. Errors prevent rich results entirely while warnings indicate missing recommended properties that would improve your markup quality.
- Step 6
Re-validate and Deploy
After fixing issues, run the validator again to confirm clean results. Once your JSON-LD passes validation, deploy it to your live site and monitor rich result appearance in Google Search Console.
Try the Schema Validator
Validate the structured data on any live page. Free to start, no credit card.
JSON-LD & Structured Data Statistics
Industry figures come from public studies and change often; check the original source before quoting them.
Common JSON-LD Mistakes
Missing the @context property or using an incorrect schema URL
Fix: Always include @context: "https://schema.org" as the first property in every JSON-LD block
Using an @type value that doesn’t exist in Schema.org vocabulary
Fix: Check the Schema.org documentation for valid type names — they are case-sensitive (e.g., "LocalBusiness" not "localbusiness")
Omitting required properties like name, headline, or image for Article schema
Fix: Check Google’s structured data documentation for each type’s required vs. recommended properties
Invalid JSON syntax: trailing commas, unquoted keys, or single quotes instead of double quotes
Fix: JSON requires double quotes for all strings and keys, no trailing commas, and proper bracket/brace nesting
Embedding structured data that doesn’t match the visible page content
Fix: Structured data must reflect what users see on the page — Google penalizes mismatches with manual actions
Using deprecated Schema.org properties that are no longer recognized
Fix: Regularly audit your JSON-LD against the latest Schema.org releases and Google documentation updates
Hardcoding dynamic values like prices or ratings that become stale
Fix: Generate JSON-LD server-side for dynamic content so structured data always matches current page content
Nesting multiple @context declarations inside a single JSON-LD block
Fix: Use one @context at the top level — nested objects inherit the parent context automatically
Pro Tips for JSON-LD Structured Data
Start with FAQPage Schema
Layer Multiple Schema Types
Use Google’s Rich Results Test
Automate with Your CMS
Monitor in Search Console
Include Image Properties
Use Specific Types Over Generic
Validate After Every Deploy
Questions about the JSON-LD Schema Validator
What is JSON-LD?
JSON-LD (JavaScript Object Notation for Linked Data) is a lightweight structured data format that uses JSON syntax to encode linked data. It allows you to embed machine-readable information about your web pages directly in the HTML using a <script type="application/ld+json"> block. Search engines like Google, Bing, and Yahoo use JSON-LD to understand page content and generate rich results in search listings.
How do I add structured data to my website?
Add a <script type="application/ld+json"> block in the <head> or <body> of your HTML page containing a valid JSON object with Schema.org vocabulary. The object must include an @context of "https://schema.org" and an @type specifying the entity type (e.g., Article, Product, FAQPage). In Next.js, you can use the metadata API or a script tag with dangerouslySetInnerHTML to inject JSON-LD.
What Schema.org types does Google support?
Google supports dozens of Schema.org types for rich results, including Article, Product, FAQPage, HowTo, Recipe, Event, LocalBusiness, Organization, BreadcrumbList, VideoObject, Review, JobPosting, Course, and SoftwareApplication. Each type has specific required and recommended properties that must be present for Google to generate rich snippets in search results.
How do I test JSON-LD structured data?
Use our free JSON-LD Validator to check syntax and Schema.org compliance instantly. You can also use Google’s Rich Results Test to see which rich result types your markup qualifies for, and the Schema Markup Validator (formerly Google’s Structured Data Testing Tool) to validate against the full Schema.org vocabulary. Test before deploying to catch errors early.
What is a rich snippet?
A rich snippet is an enhanced search result that displays additional information beyond the standard title, URL, and description. Examples include star ratings for reviews, cooking times for recipes, price and availability for products, and FAQ accordions. Rich snippets are generated by search engines when they find valid structured data markup on your page, increasing click-through rates by 20–30% on average.
What is the difference between JSON-LD, Microdata, and RDFa?
JSON-LD, Microdata, and RDFa are all formats for embedding structured data in web pages. JSON-LD uses a separate script block and is Google’s recommended format because it doesn’t mix with your HTML markup. Microdata uses HTML attributes (itemscope, itemprop) inline with your content. RDFa also uses HTML attributes but follows a different syntax. JSON-LD is the easiest to implement and maintain.
Does JSON-LD affect SEO rankings directly?
JSON-LD structured data does not directly boost rankings as a ranking factor. However, it enables rich results that significantly increase click-through rates, which indirectly improves SEO performance. Pages with rich snippets receive more clicks, higher engagement signals, and better visibility in search results. Google has also stated that structured data helps them understand page content more accurately.
What are common JSON-LD validation errors?
Common errors include missing required properties (like name or description), invalid @type values not found in Schema.org vocabulary, malformed JSON syntax (missing commas, unclosed brackets), incorrect data types (using strings where numbers are expected), missing @context declaration, and referencing deprecated Schema.org properties. Our validator catches all of these issues instantly.
Can I have multiple JSON-LD blocks on one page?
Yes, you can have multiple <script type="application/ld+json"> blocks on a single page. This is common and recommended when describing different entities — for example, one block for Organization, one for BreadcrumbList, and one for the main content type like Article or Product. Each block should be a complete, self-contained JSON-LD object with its own @context and @type.
What is the @context property in JSON-LD?
The @context property specifies the vocabulary used to interpret the structured data. For SEO purposes, this is almost always set to "https://schema.org". It tells search engines and other consumers that the terms used in the JSON-LD (like "name", "description", "author") should be interpreted according to the Schema.org definitions rather than as arbitrary JSON keys.
How do I implement FAQ structured data?
Create a JSON-LD block with @type "FAQPage" containing a mainEntity array of Question objects. Each Question needs a "name" property (the question text) and an "acceptedAnswer" object with @type "Answer" and a "text" property (the answer). Google may display these as expandable accordion items directly in search results, dramatically increasing your SERP real estate.
What is the BreadcrumbList schema type?
BreadcrumbList is a Schema.org type that describes the navigational breadcrumb trail of a page. It contains an itemListElement array of ListItem objects, each with a position number, name, and URL item. Implementing BreadcrumbList structured data helps Google display breadcrumb paths in search results instead of raw URLs, improving user experience and click-through rates.
How do I add Product structured data for e-commerce?
Product JSON-LD requires the name, image, and description properties at minimum. For rich results, also include offers (with price, priceCurrency, and availability), aggregateRating (with ratingValue and reviewCount), brand, and sku. Google uses this data to show price, availability, and ratings directly in search results and Google Shopping listings.
What is the difference between required and recommended properties?
Required properties are mandatory for a Schema.org type to be valid and eligible for rich results — missing them causes validation errors. Recommended properties are optional but strongly encouraged because they provide additional context that improves rich result appearance and eligibility. For example, Article requires headline and image, while datePublished and author are recommended.
How often should I update my JSON-LD structured data?
Update your JSON-LD whenever the underlying page content changes — new prices, updated reviews, changed business hours, or modified FAQs. For dynamic content like product prices and availability, generate JSON-LD server-side on each request. Stale structured data (showing an old price or "in stock" for sold-out items) can result in manual actions from Google and loss of rich result eligibility.
Stop Missing Rich Results Due to Structured Data Errors
Invalid JSON-LD silently prevents your pages from earning rich snippets, FAQ accordions, and product listings in search results. Use our free JSON-LD Validator above to catch every error, or explore our full toolkit for comprehensive SEO analysis.