JSON Converter Documentation

The JSON Converter is a versatile tool that allows you to convert between JSON and various other data formats. Whether you need to convert CSV to JSON, JSON to YAML, or work with XML, this tool makes data format conversion simple and efficient.

Try JSON Converter

Features

  • Multiple Formats - Support for CSV, YAML, XML, and more
  • Bidirectional Conversion - Convert to and from JSON
  • Custom Mapping - Define custom field mappings and transformations
  • Format Detection - Automatic input format detection
  • Validation - Input validation and error reporting
  • Export Options - Download results in your preferred format

How to Use

Basic Conversion

  1. Select the source and target formats
  2. Enter or paste your data in the input editor
  3. Click "Convert" to transform your data
  4. Review and copy or download the result

Advanced Options

  1. Configure format-specific options (delimiters, quotes, etc.)
  2. Define custom field mappings if needed
  3. Set data type conversions
  4. Apply transformations to specific fields

Example

Here's an example of converting between JSON and CSV:

JSON input:

[
  {
    "name": "John Doe",
    "age": 30,
    "city": "New York"
  },
  {
    "name": "Jane Smith",
    "age": 25,
    "city": "San Francisco"
  }
]

CSV output:

name,age,city
John Doe,30,New York
Jane Smith,25,San Francisco
JSON Converter

Supported Formats

Input Formats

  • CSV - Comma-separated values with headers
  • YAML - Human-readable data serialization
  • XML - Extensible Markup Language
  • JSON - JavaScript Object Notation

Output Formats

  • JSON - Formatted or minified
  • CSV - Custom delimiters and quotes
  • YAML - Configurable indentation
  • XML - Custom root elements and attributes

Tips & Tricks

  • Format Detection - Let the tool automatically detect your input format
  • Field Mapping - Use the mapping feature for complex conversions
  • Validation - Enable strict mode for better error detection
  • Large Files - Use the file upload feature for large datasets
  • Custom Settings - Save your frequently used conversion settings

Common Issues

CSV Conversion

  • Missing or inconsistent headers
  • Incorrect delimiter settings
  • Special characters in text fields
  • Inconsistent number of columns

Data Type Handling

  • Number vs. string representation
  • Date format conversions
  • Boolean value mapping
  • Null value handling

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