JSON Formatting FAQ: Complete Guide to Beautification
Expert answers to JSON formatting questions • Updated March 2025
🚀 TL;DR - Quick Answers
JSON Formatting Basics
Formatting JSON online is quick and easy with the right tools:
Step-by-Step Process
- Choose a formatter: Use JsonViewer.tools, JSON Editor Online, or similar
- Input your JSON: Paste, upload file, or enter URL
- Format automatically: Most tools format instantly
- Copy formatted result: Use the formatted JSON in your project
Top Online JSON Formatters
- Fast, clean interface
- Instant formatting
- Tree view and text view
- Error highlighting
- Dual-pane editing
- Tree and code modes
- Built-in validation
- Export options
- Simple validation
- Basic formatting
- Error reporting
- Lightweight
JSON beautification transforms minified JSON into readable format with proper indentation and spacing:
What is JSON Beautification?
Beautification adds:
- Indentation: Proper spacing for nested objects
- Line breaks: Each key-value pair on separate lines
- Consistent spacing: Around colons and commas
- Readable structure: Clear hierarchy visualization
Before and After Example
Minified (Before):
{"name":"John","age":30,"city":"New York","hobbies":["reading","coding"]}
Beautified (After):
{
"name": "John",
"age": 30,
"city": "New York",
"hobbies": [
"reading",
"coding"
]
}
Beautification Methods
Fastest for one-time formatting
- JsonViewer.tools
- JSON Formatter
- Code Beautify
Best for development workflow
- VS Code (built-in)
- Notepad++ (plugin)
- Sublime Text (package)
Perfect for automation
- jq (JSON processor)
- Python json.tool
- Node.js scripts
Fix JSON formatting errors using online tools that combine validation and formatting:
Common Formatting Errors
Error Type | Problem | Online Fix |
---|---|---|
Missing Commas | {"a": 1 "b": 2} |
Auto-detected and fixed by most formatters |
Trailing Commas | {"a": 1, "b": 2,} |
Automatically removed during formatting |
Unquoted Keys | {name: "John"} |
Some tools auto-quote keys |
Single Quotes | {'name': 'John'} |
Advanced formatters convert to double quotes |
Error-Fixing Workflow
- Identify errors: Use a validator to find issues
- Use auto-repair: Many formatters fix common errors
- Manual correction: Fix complex structural issues
- Validate result: Ensure the JSON is valid
- Format final output: Beautify for readability
Tools with Auto-Repair
- JSON Editor Online: Offers auto-repair suggestions
- JsonViewer.tools: Highlights and suggests fixes
- JSON Repair: Specialized tool for fixing broken JSON
JSON pretty print is the process of formatting JSON data to make it human-readable:
Pretty Print Features
- Indentation: Each nesting level is indented (usually 2 or 4 spaces)
- Line breaks: Each property on a separate line
- Consistent spacing: Proper spacing around operators
- Array formatting: Elements on separate lines for readability
Indentation Styles
2-Space Indentation
{
"user": {
"name": "John",
"details": {
"age": 30,
"city": "NYC"
}
}
}
4-Space Indentation
{
"user": {
"name": "John",
"details": {
"age": 30,
"city": "NYC"
}
}
}
Tab Indentation
{
"user": {
"name": "John",
"details": {
"age": 30,
"city": "NYC"
}
}
}
When to Use Pretty Print
- Development: Making JSON readable during coding
- Debugging: Easier to spot issues in formatted JSON
- Documentation: Including readable JSON in docs
- Configuration files: Human-editable config files
JSON Formatting Tools & Techniques
Notepad++ can format JSON using plugins:
Installing JSON Viewer Plugin
- Open Notepad++
- Go to Plugins → Plugins Admin
- Search for "JSON Viewer"
- Install and restart Notepad++
Formatting JSON
- Open your JSON file in Notepad++
- Select all JSON content (Ctrl+A)
- Go to Plugins → JSON Viewer → Format JSON
- Your JSON will be beautifully formatted
JSON Viewer Features
- Format JSON: Pretty print with indentation
- Compress JSON: Minify to single line
- Tree View: Hierarchical view in side panel
- Validation: Syntax error highlighting
Alternative: XML Tools Plugin
For basic formatting without JSON-specific features:
- Install XML Tools plugin
- Use Plugins → XML Tools → Pretty Print
- Works for JSON with some limitations
VS Code has excellent built-in JSON formatting capabilities:
Built-in Formatting
- Windows/Linux: Ctrl+Shift+I
- Mac: Cmd+Shift+I
- Alternative: Alt+Shift+F
- Press Ctrl+Shift+P
- Type "Format Document"
- Select and execute
- Right-click in JSON file
- Select "Format Document"
- JSON will be formatted
Formatting Settings
Customize JSON formatting in settings.json:
{
"[json]": {
"editor.defaultFormatter": "vscode.json-language-features",
"editor.tabSize": 2,
"editor.insertSpaces": true,
"editor.formatOnSave": true
}
}
Useful Extensions
- Prettier: Advanced formatting with more options
- JSON Tools: Additional JSON utilities
- Auto Rename Tag: Helps with JSON editing
Command line JSON formatting is perfect for automation and batch processing:
Using jq (Recommended)
Basic Formatting
# Format JSON file
jq . input.json > formatted.json
# Format from stdin
echo '{"name":"John","age":30}' | jq .
# Pretty print with custom indentation
jq --indent 4 . input.json
Advanced Options
# Sort keys alphabetically
jq -S . input.json
# Compact output (minify)
jq -c . input.json
# Format multiple files
for file in *.json; do jq . "$file" > "formatted_$file"; done
Using Python
# Format JSON file
python -m json.tool input.json > formatted.json
# Format with custom indentation
python -c "
import json
with open('input.json') as f:
data = json.load(f)
with open('formatted.json', 'w') as f:
json.dump(data, f, indent=4, sort_keys=True)
"
Using Node.js
# One-liner formatting
node -e "console.log(JSON.stringify(JSON.parse(require('fs').readFileSync('input.json')), null, 2))"
# With file output
node -e "
const fs = require('fs');
const data = JSON.parse(fs.readFileSync('input.json'));
fs.writeFileSync('formatted.json', JSON.stringify(data, null, 2));
"
The best JSON formatter depends on your specific needs and workflow:
For Quick Online Formatting
- Fast, clean interface
- Instant formatting
- Tree and text views
- No ads or distractions
- Online only
- Limited customization
- Dual-pane editing
- Multiple view modes
- Advanced features
- Export options
- More complex interface
- Slower for simple tasks
- Simple interface
- Multiple tools available
- File upload support
- Ads and clutter
- Less reliable
For Development Workflow
- VS Code: Best for integrated development
- Notepad++: Good for Windows users
- Sublime Text: Fast and customizable
- Command line (jq): Perfect for automation
Selection Criteria
Use Case | Recommended Tool | Why |
---|---|---|
Quick one-time formatting | JsonViewer.tools | Fast, clean, no setup required |
Regular development work | VS Code | Integrated with workflow |
Batch processing | jq command line | Automation and scripting |
Complex JSON editing | JSON Editor Online | Advanced editing features |
Advanced JSON Formatting
Custom indentation allows you to control the spacing and appearance of formatted JSON:
Programming Language Examples
JavaScript
// 2-space indentation
JSON.stringify(data, null, 2)
// 4-space indentation
JSON.stringify(data, null, 4)
// Tab indentation
JSON.stringify(data, null, '\t')
// Custom string indentation
JSON.stringify(data, null, '---')
Python
# 2-space indentation
json.dumps(data, indent=2)
# 4-space indentation
json.dumps(data, indent=4)
# Tab indentation
json.dumps(data, indent='\t')
Command Line (jq)
# Custom indentation (2-8 spaces)
jq --indent 2 . input.json
jq --indent 4 . input.json
jq --indent 8 . input.json
# Tab indentation
jq --tab . input.json
Online Tools with Custom Indentation
- JSON Editor Online: Configurable spacing in settings
- JsonViewer.tools: Standard 2-space indentation
- Code Beautify: Options for different indent sizes
Best Practices
- 2 spaces: Most common, good for web development
- 4 spaces: Better readability for complex structures
- Tabs: Personal preference, configurable in editors
- Consistency: Use the same indentation across your project
JSON minification removes all unnecessary whitespace to reduce file size:
Why Minify JSON?
- Reduced file size: Faster network transfers
- Storage efficiency: Less disk space usage
- API responses: Faster loading times
- Production deployment: Optimized for performance
Minification Methods
Online Tools
- JsonViewer.tools: Toggle between formatted and minified
- JSON Minifier: Dedicated minification tools
- Code Beautify: Minify option available
Programming Languages
// JavaScript
JSON.stringify(data) // No spacing parameter = minified
// Python
json.dumps(data, separators=(',', ':')) // Compact separators
// Command line (jq)
jq -c . input.json // Compact output
Before and After Example
Formatted (Before):
{
"name": "John Doe",
"age": 30,
"city": "New York",
"hobbies": [
"reading",
"coding",
"traveling"
]
}
Minified (After):
{"name":"John Doe","age":30,"city":"New York","hobbies":["reading","coding","traveling"]}
Size reduction: 156 bytes → 95 bytes (39% smaller)
🎯 Key Takeaways
Quick Formatting
Use JsonViewer.tools for instant JSON beautification with proper indentation and error highlighting.
Development Integration
Use VS Code, Notepad++, or command-line tools for formatting within your development workflow.
Customization Options
Most tools support custom indentation (2-space, 4-space, tabs) to match your coding standards.
Performance Balance
Use formatted JSON for development and debugging, minified JSON for production and APIs.