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Basic Tools

JSON to YAML Converter

Convert JSON data to YAML format with advanced options for customizing indentation, style, and formatting. Upload a file or paste your JSON directly.

Advanced JSON to YAML Conversion Tool

Transform your JSON (JavaScript Object Notation) data into YAML (YAML Ain't Markup Language) with our professional-grade converter. This tool provides extensive customization options for YAML output, making it perfect for configuration files, data serialization, and cross-language data sharing.

Our converter maintains data type integrity while offering flexible formatting options to match your specific YAML style requirements, whether you're working with configuration files, APIs, or data exchange formats.

Key Features

YAML Style Options

  • Block vs Flow Style: Choose between readable block format or compact flow format
  • Custom Indentation: Set your preferred indentation level (1-8 spaces)
  • Quotation Control: Automatic, always, or never quote strings
  • Array Formatting: Block style (-) or flow style [a, b, c]
  • Document Markers: Optional YAML document markers (---)

Data Type Handling

  • Null Values: Choose between 'null', empty, or '~' representation
  • Boolean Formats: true/false, TRUE/FALSE, or on/off options
  • Date Formatting: ISO, timestamp, or readable date strings
  • Number Handling: Proper handling of integers, floats, and special numbers
  • Special Characters: Automatic escaping of YAML special characters

Common Use Cases

Configuration Files

YAML is widely used for configuration files due to its human-readable format:

  • Docker Compose files
  • Kubernetes configurations
  • CI/CD pipeline configurations
  • Application settings files
  • Environment configurations

Data Exchange

Convert JSON APIs responses to YAML for:

  • API documentation
  • Data visualization inputs
  • Cross-platform data sharing
  • Development debugging
  • System integration testing

Documentation

YAML's readable format makes it ideal for:

  • OpenAPI/Swagger specifications
  • Technical documentation
  • Data structure definitions
  • Reference guides
  • Code examples

Best Practices

Formatting Guidelines

  • Use block style for complex nested structures
  • Use flow style for simple, compact data
  • Maintain consistent indentation throughout
  • Quote strings containing special characters
  • Use appropriate data type representations

When Converting from JSON

  • Validate JSON input before conversion
  • Check for proper data type preservation
  • Review nested structure formatting
  • Verify special character handling
  • Test the output in your target system

Example Conversions

Simple Object

JSON Input:

{
  "name": "John Doe",
  "age": 30,
  "active": true
}

YAML Output:

name: John Doe
age: 30
active: true

Nested Structure

JSON Input:

{
  "user": {
    "name": "John",
    "contacts": [
      "email@example.com",
      "phone@example.com"
    ]
  }
}

YAML Output:

user:
  name: John
  contacts:
    - email@example.com
    - phone@example.com

Technical Specifications

Supported Features

  • Full JSON data type support
  • Nested object and array handling
  • Special number handling (NaN, Infinity)
  • Multi-line string support
  • UTF-8 character encoding
  • Large file handling (up to 10MB)
  • Proper indentation preservation
  • Special character escaping

Limitations and Considerations

  • Maximum file size: 10MB
  • Requires valid JSON input
  • Some complex circular references may not be supported
  • Binary data should be base64 encoded
  • Custom object types are converted to strings

Security and Privacy

Our JSON to YAML converter prioritizes your data security:

  • All conversion happens locally in your browser
  • No data is sent to our servers
  • No data storage or logging
  • No third-party access to your data
  • Automatic clearing of data when closing the page

Our JSON to YAML converter analyzes your JSON data structure and transforms it into a well-formatted YAML document. It intelligently preserves data types, handles nested structures, and supports advanced YAML features like flow style, block style, and customizable formatting. The tool automatically manages proper indentation, key formatting, and structural hierarchy.

The converter maintains the hierarchical structure of nested JSON objects using YAML's indentation-based format. You can choose between block style (using indentation) or flow style (using curly braces) for nested structures. The tool also provides options for preserving key order and customizing the representation of complex structures.

The converter offers multiple options for handling arrays in YAML: block style using hyphens (-), flow style using square brackets [], or a combination of both. You can also customize array item formatting, set maximum items per line, and choose how nested arrays are represented.

The converter supports JSON files up to 10MB in size. For larger datasets, we recommend splitting the data into smaller chunks. The tool processes data efficiently while maintaining proper YAML structure and formatting throughout the conversion process.

Yes, you have extensive control over the YAML output format. You can customize indentation size, choose between block or flow style, configure quotation behavior, set null value representation, specify boolean formats, determine date formatting, and control how special characters and data types are handled.

The converter automatically handles YAML special characters and provides proper escaping when needed. It preserves data types from the JSON input, including numbers, dates, booleans, and null values. You can customize how each data type is represented in the YAML output through the settings panel.

Yes, the converter generates well-formed YAML that complies with YAML 1.2 specifications. It ensures proper indentation, correct key formatting, valid data type representation, and appropriate handling of special characters. The output is compatible with standard YAML parsers and processing tools.

Yes, the converter provides a live preview of your YAML output as you adjust settings. You can review the structure, verify formatting, check indentation, and ensure the output meets your requirements before generating the final YAML file.

The generated YAML can be used in various applications including configuration files (Docker, Kubernetes), CI/CD pipelines, application settings, data serialization, or any system that accepts YAML input. You can copy the YAML content directly or download it as a file for use in your workflows.

For best results: 1) Validate your JSON structure before conversion, 2) Choose appropriate style (block vs flow) based on your data complexity, 3) Consider readability requirements, 4) Configure proper indentation and formatting, 5) Test the output with your target system or YAML parser, and 6) Review nested structures for proper representation.

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