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Free JSON‑LD Formatter & Validator & Debugger

Format, beautify, validate and debug your JSON‑LD (Linked Data) scripts. Check for schema.org compatibility, syntax errors and get clean, indented JSON.

📋 Input JSON‑LD

💡 Pro Tips
  • Use Format to beautify with 2‑space indentation.
  • Validate checks JSON syntax + required @context & @type.
  • Debug shows expanded context, type tree and schema hints.
  • Sample loads a schema.org Article snippet.

📦 Results

✅ Status: ready No errors

🔧 Formatted JSON‑LD

📌 What is JSON‑LD?

JSON‑LD (Linked Data) is a lightweight method to encode linked data using JSON. It’s the Google‑preferred format for structured data (schema.org). A valid JSON‑LD always includes @context and @type.

✅ Validation & Debugging

Validator checks JSON syntax, mandatory fields, and common schema.org patterns. Debugger resolves the context (if URL) and shows inherited types, helping you fix rich results.

⚠️ Common Errors

Missing @context, invalid JSON (trailing commas), wrong @type casing, or using strings instead of objects for nested types. Our tool catches most of them.

📘 How To Use JSON‑LD Formatter & Validator & Debugger

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Step 1: Enter JSON‑LD

Paste your JSON‑LD script in the input area. It can be minified or poorly indented.

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Step 2: Choose action

Click Format to beautify, Validate to check syntax + schema.org basics, or Debug for deep inspection.

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Step 3: Inspect results

Read status, error list, formatted output. Debug tab shows resolved context and type hierarchy.

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Step 4: Copy / Download

Use Copy button to get formatted JSON to clipboard, or Download to save as .json file.

❓ Frequently Asked Questions

What JSON‑LD versions/vocabularies are supported? ▼

We fully support JSON‑LD 1.1 syntax and schema.org context. The validator checks for @context (URL or object) and @type existence. It also detects basic schema.org type expectations (e.g., Person should have name).

Does it validate against schema.org exactly? ▼

It performs syntactic validation and checks for common required properties for types like Article, Product, Event (headline, name, etc.). However, it does not connect to the schema.org graph, so some advanced constraints are not enforced. For full compliance, use Google's Rich Results Test after formatting.

What formatting options are available? ▼

The formatter uses 2‑space indentation, sorts keys alphabetically, and ensures consistent line breaks. It preserves all data and only changes whitespace.

Can I format multiple JSON‑LD blocks? ▼

Yes, if your input contains multiple JSON objects (e.g., an array of graphs), the tool will try to format each independently. However, best practice is one script per block.

Is my JSON‑LD data secure? ▼

Absolutely. All formatting, validation, and debugging happens in your browser with JavaScript. We never send your code to any server — it's completely client-side.

What common JSON‑LD errors does it detect? ▼

Invalid JSON (trailing commas, missing quotes), missing @context or @type, using relative URLs without base, wrong data types, and some schema.org mandatory field omissions.

How accurate is the debugger? ▼

The debugger attempts to fetch context if it’s a URL (CORS‑allowed) and expand terms. For https://schema.org it uses a built‑in lightweight map to show expected type hierarchy. It gives a great starting point.

🔍 Example — Before formatting & After formatting

Before formatting (minified):

{"@context":"https://schema.org","@type":"Product","name":"Laptop","brand":{"@type":"Brand","name":"TechCo"},"offers":{"@type":"Offer","price":"999.99","priceCurrency":"USD"}}

After formatting (beautified):

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Laptop",
  "brand": {
    "@type": "Brand",
    "name": "TechCo"
  },
  "offers": {
    "@type": "Offer",
    "price": "999.99",
    "priceCurrency": "USD"
  }
}

Use the tool above to experiment with your own JSON‑LD.