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JSON Formatter & Validator

Format, validate, and beautify your JSON data with this easy-to-use tool. Features syntax highlighting and line numbers for easy debugging.

Input JSON

Result

JSON Tips & Tricks

Common JSON Errors

  • Missing or extra commas between properties
  • Using single quotes instead of double quotes
  • Trailing commas in arrays or objects
  • Unquoted property names
  • Using comments (JSON doesn't support them)

JSON vs. JavaScript Objects

  • JSON requires double quotes for property names
  • JSON doesn't support functions or methods
  • JSON doesn't allow trailing commas
  • JSON doesn't support undefined as a value
  • JSON is a data format, not a programming language

Common JSON Use Cases

API Responses

JSON is the standard format for API responses, making it easy to exchange data between client and server.

Configuration Files

Many applications use JSON for configuration files due to its readability and simplicity.

Data Storage

JSON is used to store structured data in databases like MongoDB and in local storage.

Data Exchange

JSON is language-independent, making it perfect for exchanging data between different systems.

Web Services

RESTful web services commonly use JSON for both requests and responses.

Package Manifests

Package managers like npm use JSON for package.json files to describe dependencies and scripts.

JSON Schema Example

JSON Schema is a vocabulary that allows you to annotate and validate JSON documents. Here's a simple example:

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Person",
  "type": "object",
  "required": ["name", "age"],
  "properties": {
    "name": {
      "type": "string",
      "description": "The person's full name"
    },
    "age": {
      "type": "integer",
      "minimum": 0,
      "description": "Age in years"
    },
    "email": {
      "type": "string",
      "format": "email",
      "description": "Email address"
    },
    "address": {
      "type": "object",
      "properties": {
        "street": { "type": "string" },
        "city": { "type": "string" },
        "zipCode": { "type": "string" }
      }
    }
  }
}

This schema defines a "Person" object with required name and age properties, and optional email and address properties. It also specifies validation rules like minimum age and email format.