JSON格式化器 - 漂亮打印和美化JSON

返回工具
将杂乱的JSON转换为格式漂亮、可读的代码，具有适当的缩进和语法高亮。对于调试复杂JSON结构、API响应分析和代码文档至关重要。具有实时语法验证和错误检测功能。
Advanced JSON Formatter & Prettifier

Professional JSON beautification tool for developers, QA engineers, and system administrators. Transform minified or malformed JSON into readable, properly formatted code with intelligent indentation and syntax highlighting.

Intelligent indentation with customizable spacing Real-time syntax validation and error highlighting Advanced formatting options for different coding standards Bulk processing for multiple JSON files Interactive collapsible tree view for complex structures Export formatted JSON with customizable styling
Practical Examples
API Response Debugging

Make API responses readable for debugging and testing

BEFORE (Minified JSON) 
{"status":"success","data":{"users":[{"id":1,"name":"Alice","role":"admin"},{"id":2,"name":"Bob","role":"user"}],"pagination":{"page":1,"total":2}}}
AFTER (Beautified JSON) 
{
  "status": "success",
  "data": {
    "users": [
      {
        "id": 1,
        "name": "Alice",
        "role": "admin"
      },
      {
        "id": 2,
        "name": "Bob", 
        "role": "user"
      }
    ],
    "pagination": {
      "page": 1,
      "total": 2
    }
  }
}
Configuration File Formatting

Format configuration files for better maintainability

BEFORE (Minified JSON) 
{"server":{"host":"localhost","port":3000,"ssl":{"enabled":true,"cert":"/path/to/cert.pem","key":"/path/to/key.pem"}},"database":{"type":"postgresql","connection":{"host":"db.example.com","port":5432}}}
AFTER (Beautified JSON) 
{
  "server": {
    "host": "localhost",
    "port": 3000,
    "ssl": {
      "enabled": true,
      "cert": "/path/to/cert.pem",
      "key": "/path/to/key.pem"
    }
  },
  "database": {
    "type": "postgresql", 
    "connection": {
      "host": "db.example.com",
      "port": 5432
    }
  }
}
Technical Features
  • Configurable indentation (2, 4, or 8 spaces, or tabs)
  • Smart bracket and brace alignment
  • Automatic comma placement and validation
  • Intelligent string quote normalization
  • Nested structure visualization
  • JSON5 and extended JSON format support
Professional Use Cases
API Testing & Debugging
Format API responses for easier analysis
Code Documentation
Create readable JSON examples for documentation
Configuration Management
Maintain clean, readable config files
Data Analysis
Format data exports for manual inspection
Educational Purposes
Create clear examples for training materials
Quality Assurance
Review JSON data structures during testing
Best Practices
  • Use consistent indentation throughout your project
  • Always validate JSON before sharing with team members
  • Format JSON in development, minify for production
  • Use meaningful key names and maintain logical structure
  • Add comments using JSON5 format when documentation is needed
  • Implement automatic formatting in your code editor
Troubleshooting Guide
Syntax Errors
Check for missing quotes, commas, or mismatched brackets
Encoding Issues
Ensure proper UTF-8 encoding for international characters
Large File Formatting
Use streaming formatters for files larger than 10MB
Memory Constraints
Process large JSON files in smaller chunks
Performance Issues
Disable real-time formatting for very large datasets