JSON Formatter & Validator

Format, validate, and beautify JSON data with syntax highlighting. Convert between minified and formatted JSON instantly.

Input JSON

0 chars, 0 lines, 0 B

Formatted Output

0 chars, 0 lines, 0 B

Formatted JSON will appear here

Sample JSON

Try these sample JSON examples to test the formatter:

Simple Object

{"name":"John Doe","age":30,"city":"New York"}

Array with Objects

[{"id":1,"name":"Item 1"},{"id":2,"name":"Item 2"}]

JSON Formatter Features

Format & Beautify

Transform minified JSON into readable, properly indented format with customizable spacing

Validate JSON

Instantly check if your JSON is valid and get detailed error messages for debugging

Minify JSON

Remove whitespace and formatting to create compact JSON for production use

File Support

Upload JSON files directly or download formatted results as .json files

JSON Syntax Guide

Valid JSON Format

{
  "name": "John Doe",
  "age": 30,
  "isActive": true,
  "hobbies": ["reading", "coding", "hiking"],
  "address": {
    "street": "123 Main St",
    "city": "New York",
    "zipCode": "10001"
  },
  "spouse": null
}

JSON Rules

Data is in name/value pairs separated by commas

Objects are enclosed in curly braces {}

Arrays are enclosed in square brackets []

Strings must be in double quotes

Numbers can be integers or floating point

Boolean values are true or false

null represents empty value

Common Errors

Trailing Comma

{ "name": "John", }

Remove the comma after the last item

Single Quotes

{ 'name': 'John' }

Use double quotes instead of single quotes

Unquoted Keys

{ name: "John" }

Object keys must be in double quotes

Professional JSON Formatter Applications

🔧 API Development & Testing

  • • Format REST API responses for debugging
  • • Validate JSON payloads before sending requests
  • • Clean up Postman or Insomnia exports
  • • Structure webhook payload data
  • • Format GraphQL query results

📊 Data Processing & Analytics

  • • Clean NoSQL database exports
  • • Format data for machine learning models
  • • Validate ETL pipeline JSON outputs
  • • Structure analytics tracking data
  • • Process social media API responses

⚙️ Configuration Management

  • • Format application config files
  • • Validate Docker compose configurations
  • • Clean up VS Code settings files
  • • Structure CI/CD pipeline configs
  • • Format package.json dependencies

🎓 Education & Training

  • • Teach JSON structure and syntax
  • • Create formatted code examples
  • • Validate student JSON assignments
  • • Prepare tutorial materials
  • • Debug learning project data

🚀 DevOps & Deployment

  • • Format Kubernetes manifest files
  • • Validate Terraform JSON configurations
  • • Clean up deployment pipeline logs
  • • Structure monitoring alert configs
  • • Format infrastructure templates

🔍 Testing & Quality Assurance

  • • Format test fixture data
  • • Validate automated test results
  • • Structure mock API responses
  • • Clean up test output logs
  • • Format performance test metrics

📱 Frontend Development

  • • Format state management data
  • • Validate component prop schemas
  • • Structure translation files (i18n)
  • • Clean up build configuration files
  • • Format feature flag configurations

🗄️ Database & Storage

  • • Format MongoDB document exports
  • • Validate JSON schema definitions
  • • Clean up database migration files
  • • Structure document store data
  • • Format search index configurations

💡 JSON Best Practices

• Always validate JSON before production deployment

• Use consistent indentation (2 or 4 spaces) across your project

• Minify JSON for production to reduce bandwidth usage

• Keep formatted versions for development and debugging

• Use meaningful property names and avoid abbreviations