JSON Viewer & Validator

Validate, format, and convert JSON. View data in tree or table format, search with JSONPath, and export to YAML, XML, or CSV.

JSON Input
Paste or type your JSON, YAML, XML, or CSV
Validation Error
Empty input

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Free Online JSON Viewer & Validator Tool

Visualise, validate, and edit JSON data with our powerful online tool. Format messy JSON with proper indentation, minify for production, convert to other formats like YAML, XML, or CSV, and validate against JSON Schema. Perfect for developers working with APIs, configuration files, and data structures.

View Modes

Tree View

Explore nested JSON structures with an expandable tree interface. Click to expand/collapse objects and arrays for easy navigation.

Table View

View JSON as a flattened table with paths, keys, values, and types. Perfect for analysing data structures and finding specific properties.

Raw View

Edit JSON directly with syntax highlighting and auto-formatting. Validate your changes in real-time as you type.

How to Use the JSON Viewer

  1. Paste or type your JSON in the editor
  2. View validation results instantly - errors are highlighted with line numbers
  3. Choose your view mode: Tree for exploring, Table for analysis, or Raw for editing
  4. Format or minify with one click
  5. Search your data using text search or JSONPath queries
  6. Convert to other formats: YAML, XML, or CSV
  7. Validate against schema for API response validation
  8. Copy or download your processed JSON

Features

  • ✓Real-time validation - Instant error detection with line numbers
  • ✓Format & minify - Beautify or compress JSON
  • ✓Multiple view modes - Tree, table, and raw editor
  • ✓JSONPath search - Query data using JSONPath syntax
  • ✓Convert to YAML - Export as YAML format
  • ✓Convert to XML - Export as XML with proper structure
  • ✓Convert to CSV - Flatten and export as CSV
  • ✓Schema validation - Validate against JSON Schema (draft-07)
  • ✓Schema generation - Auto-generate schema from JSON
  • ✓Copy to clipboard - One-click copy of formatted JSON
  • ✓Download files - Export as .json, .yaml, .xml, or .csv
  • ✓100% client-side - Your data never leaves your browser

Common Use Cases

API Development

Validate API responses, format JSON payloads, and test against schemas. Quickly identify structural issues in your API data.

Configuration Files

Edit and validate JSON config files for applications. Ensure your package.json, tsconfig.json, or other config files are valid.

Data Analysis

Explore complex nested data structures. Use table view to see all paths and values, or search with JSONPath to find specific data.

Format Conversion

Convert between JSON, YAML, XML, and CSV. Perfect for migrating data between systems or generating config files in different formats.

Schema Validation

Validate data against JSON Schema for API contracts, form validation, or data integrity checks. Auto-generate schemas from sample data.

Learning & Teaching

Understand JSON structure with tree view. Great for teaching JSON concepts or learning about nested data structures.

What is JSON?

JSON (JavaScript Object Notation) is a lightweight data-interchange format that's easy for humans to read and write, and easy for machines to parse and generate. It's widely used for APIs, configuration files, and data storage. JSON supports these data types:

  • Objects: Key-value pairs enclosed in curly braces {}
  • Arrays: Ordered lists enclosed in square brackets []
  • Strings: Text enclosed in double quotes ""
  • Numbers: Integers or floating-point values
  • Booleans: true or false
  • Null: Represents absence of value

JSONPath Search Guide

JSONPath is a query language for JSON, similar to XPath for XML. Use it to search and extract data from complex JSON structures:

$ - Root element
$.store.book[*] - All books in store
$..author - All author values (recursive)
$.store.book[0] - First book
$.store.book[-1] - Last book
$.store.book[0,1] - First two books
$.store.book[?(@.price < 10)] - Books cheaper than 10

For simple text search, just type your query without the $ prefix to search in values and keys.

JSON Schema Validation

JSON Schema is a vocabulary that allows you to annotate and validate JSON documents. It's useful for:

  • API Contract Validation: Ensure API responses match expected structure
  • Form Validation: Define rules for user input validation
  • Documentation: Self-document your JSON data structures
  • Data Quality: Enforce data types, formats, and constraints

Our tool supports JSON Schema Draft-07 with format validation for email, URI, date, UUID, and more.

Format Conversion

JSON to YAML

Convert JSON to human-readable YAML format. Perfect for configuration files like Docker Compose, Kubernetes, or CI/CD pipelines.

JSON to XML

Transform JSON to XML structure. Useful for legacy systems or SOAP APIs that require XML format.

JSON to CSV

Flatten JSON to CSV for spreadsheet import. Nested objects are flattened with dot notation, arrays are stringified.

Import from Other Formats

Paste YAML, XML, or CSV and automatically convert to JSON. The tool detects the format and converts accordingly.

Frequently Asked Questions

How do I validate JSON?

Simply paste your JSON into the editor. Validation happens automatically. Errors are shown with line numbers and descriptions.

Is my data secure?

Yes! All processing happens entirely in your browser using JavaScript. Your JSON never leaves your device or gets sent to any server.

Can I validate large JSON files?

Yes, the tool can handle large JSON files (several MB). However, very large files may take a few seconds to process depending on your browser and computer performance.

What's the difference between format and minify?

Format adds proper indentation and line breaks for readability. Minify removes all whitespace to reduce file size for production use.

How does tree view work?

Tree view displays JSON as an expandable hierarchy. Click arrows to expand/collapse objects and arrays. It's perfect for exploring deeply nested structures.

Can I edit JSON in tree view?

The tree view is read-only for navigation. Switch to Raw view to edit JSON directly with syntax highlighting.

What is table view useful for?

Table view flattens your JSON to show all paths, keys, values, and types in a searchable table. It's great for analysing structure and finding specific properties.

How do I generate a schema?

In the Schema Validation section, click "Generate Schema" to auto-generate a JSON Schema from your data. The schema infers types, formats, and structure.

Can I import YAML or XML?

Yes! The tool auto-detects format. Paste YAML, XML, or CSV and it will convert to JSON automatically. You can then work with it as JSON.

Tips for Working with JSON

  • Use format before sharing: Always format JSON before sharing to make it readable
  • Validate early: Validate JSON as soon as you receive it to catch errors early
  • Use schema validation: Define schemas for your APIs to ensure data consistency
  • Search with JSONPath: For complex JSON, use JSONPath queries to quickly find data
  • Minify for production: Reduce file size by minifying JSON before deploying
  • Use table view for analysis: When you need to see all paths and values at once
  • Generate schemas from samples: Use real data to create initial schemas, then refine them