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JSON Validation FAQ: Complete Guide to Error Checking

Expert answers to JSON validation questions • Updated March 2025

🚀 TL;DR - Quick Answers

Validate JSON: Use online validators like JsonViewer.tools - paste JSON, get instant error reports
Common Errors: Missing commas, unclosed brackets, unquoted keys, trailing commas
Best Tools: JSONLint, JsonViewer.tools, browser dev tools, VS Code extensions
Quick Fix: Most validators auto-highlight error locations with line numbers

JSON Validation Fundamentals

To validate JSON data online, follow these steps:

  1. Choose a JSON validator: Use JsonViewer.tools, JSONLint, or similar online tools
  2. Paste your data: Copy and paste your JSON content into the validator
  3. Check results: The tool will immediately show validation results
  4. Fix errors: If errors exist, they'll be highlighted with line numbers

Popular online JSON validators include:

  • JsonViewer.tools - Fast validation with formatting
  • JSONLint.com - Simple validator with error highlighting
  • JSON Editor Online - Validation with editing capabilities

JSON becomes invalid due to several common syntax violations:

Structural Errors:

  • Unclosed brackets: Missing closing } or ]
  • Missing commas: Between key-value pairs or array elements
  • Trailing commas: Extra comma after last element

Key-Value Errors:

  • Unquoted keys: Keys must be in double quotes
  • Single quotes: JSON requires double quotes only
  • Missing colons: Between keys and values

Data Type Errors:

  • Invalid types: Functions, undefined, or comments
  • Malformed strings: Unescaped quotes or control characters
  • Incorrect boolean values: Must be lowercase true/false

There are several methods to verify JSON format correctness:

1. Online Validators

The fastest method for checking JSON format:

  • Copy your JSON data
  • Paste into a validator like JsonViewer.tools
  • Receive instant feedback with error locations

2. Browser Developer Tools

Use browser console for quick validation:

try {
    JSON.parse(yourJsonString);
    console.log("Valid JSON");
} catch (error) {
    console.log("Invalid JSON:", error.message);
}

3. Text Editors with JSON Support

  • Visual Studio Code with JSON extensions
  • Notepad++ with JSON Viewer plugin
  • Sublime Text with JSON packages

Here are the most frequently encountered JSON errors:

1. Syntax Errors (Most Common)

Error Type Example Fix
Missing comma {"a": 1 "b": 2} {"a": 1, "b": 2}
Trailing comma {"a": 1, "b": 2,} {"a": 1, "b": 2}
Unquoted keys {name: "John"} {"name": "John"}
Single quotes {'name': 'John'} {"name": "John"}

2. Structure Errors

  • Unclosed objects/arrays: Missing closing brackets
  • Mismatched brackets: [} instead of ]
  • Empty values: Missing values after colons

3. Data Type Errors

  • Invalid literals: Using undefined, NaN, or Infinity
  • Functions: JSON doesn't support function definitions
  • Comments: JSON doesn't allow comments

JSON Validation Tools & Techniques

The best JSON validation tool depends on your specific needs:

Online Validators (Recommended for Most Users)

  • JsonViewer.tools: Fast, clean interface with formatting
  • JSONLint: Simple, reliable validation with error highlighting
  • JSON Editor Online: Validation plus editing capabilities

Developer Tools

  • VS Code: Built-in JSON validation with extensions
  • Browser DevTools: Built-in JSON.parse() for validation
  • Command Line: Tools like jq for batch validation

Programming Libraries

  • JavaScript: Native JSON.parse() method
  • Python: json.loads() with error handling
  • Java: Jackson or Gson libraries

Several command-line tools can validate JSON:

Using jq (Most Popular)

# Validate a JSON file
jq . filename.json

# Validate JSON from stdin
echo '{"name": "test"}' | jq .

# Check if valid (exit code 0 = valid)
jq . filename.json > /dev/null && echo "Valid JSON" || echo "Invalid JSON"

Using Python

# One-liner validation
python -c "import json; json.load(open('file.json'))"

# With error handling
python -c "
import json, sys
try:
    with open('file.json') as f:
        json.load(f)
    print('Valid JSON')
except ValueError as e:
    print(f'Invalid JSON: {e}')
    sys.exit(1)
"

Using Node.js

# Validate JSON file
node -e "JSON.parse(require('fs').readFileSync('file.json', 'utf8'))"

"Invalid JSON format" means your data doesn't conform to the JSON specification. This error occurs when:

Specification Violations

  • Non-conforming syntax: Data doesn't follow JSON grammar rules
  • Encoding issues: Non-UTF-8 characters or BOM markers
  • Structural problems: Malformed objects or arrays

Common Scenarios

JavaScript Objects vs JSON:

JavaScript: {name: 'John', age: 30}

Valid JSON: {"name": "John", "age": 30}

Python Objects vs JSON:

Python: {'name': 'John', 'active': True}

Valid JSON: {"name": "John", "active": true}

Comments in JSON:

Invalid: {"name": "John" /* comment */}

Valid: {"name": "John"}

Error Resolution Steps

  1. Use a JSON validator to identify specific errors
  2. Check for common syntax mistakes
  3. Ensure proper escaping of special characters
  4. Verify data type compliance

Advanced JSON Validation

JSON Schema validation goes beyond syntax checking to validate data structure and types:

What is JSON Schema?

JSON Schema is a vocabulary for validating the structure of JSON data. It defines:

  • Required and optional properties
  • Data types and formats
  • Value constraints and patterns
  • Array and object structures

Schema Validation Tools

  • Online: JSON Schema Validator websites
  • JavaScript: Ajv library (fastest JSON Schema validator)
  • Python: jsonschema library
  • Java: everit-org/json-schema

Example Schema Validation

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "minLength": 1
    },
    "age": {
      "type": "integer",
      "minimum": 0,
      "maximum": 150
    },
    "email": {
      "type": "string",
      "format": "email"
    }
  },
  "required": ["name", "email"]
}

API response validation ensures data integrity in web applications:

Testing Approaches

1. Structure Validation
  • Verify response is valid JSON
  • Check required fields are present
  • Validate data types match expectations
2. Content Validation
  • Verify specific field values
  • Check data ranges and formats
  • Validate business logic constraints
3. Schema Validation
  • Use JSON Schema for comprehensive validation
  • Validate nested objects and arrays
  • Check optional vs required fields

Popular Testing Tools

  • Postman: Built-in JSON validation and schema testing
  • REST Assured: Java library for API testing
  • Jest/Mocha: JavaScript testing frameworks
  • pytest: Python testing with JSON validation

🎯 Key Takeaways

Quick Validation

Use online validators like JsonViewer.tools for instant JSON validation with error highlighting and line numbers.

Common Errors

Most JSON errors are syntax-related: missing commas, unclosed brackets, unquoted keys, and trailing commas.

Best Practices

Always validate JSON before production use. Use schema validation for complex data structures and API responses.

Developer Tools

Integrate JSON validation into your development workflow with IDE extensions and automated testing.