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Data Format Converters

Transform data structures between JSON and YAML formats with real-time validation. Perfect for configuration files, API data, and development workflows.

Structure-Preserving Conversion

Convert between JSON and YAML while preserving data structure and types. Real-time validation and syntax highlighting ensure error-free transformations.

Converter

JSON to YAML Converter

Convert JSON data structures to human-readable YAML format

Input:JSON (JavaScript Object Notation)
Output:YAML (YAML Ain't Markup Language)

YAML is more human-readable and supports comments

Key Features

  • Real-time validation
  • Auto-conversion mode
  • File upload support
  • Pretty formatting

Common Use Cases

  • Configuration files
  • Docker Compose files
  • Kubernetes manifests
  • CI/CD pipelines
Use JSON Converter
Converter

YAML to JSON Converter

Convert YAML configuration files to JSON data format

Input:YAML (YAML Ain't Markup Language)
Output:JSON (JavaScript Object Notation)

JSON is widely supported and machine-readable

Key Features

  • YAML syntax validation
  • Error highlighting
  • Batch processing
  • Format preservation

Common Use Cases

  • API data preparation
  • Database imports
  • Web development
  • Data processing
Use YAML Converter
Converter

JSON to Go Struct Converter

Convert JSON data to Go struct definitions with proper types and tags

Input:JSON (JavaScript Object Notation)
Output:Go Struct (Go Language Struct)

Generates Go structs with proper field types and JSON tags

Key Features

  • Smart type detection
  • Nested struct generation
  • JSON tags & validation
  • Configurable options

Common Use Cases

  • API development
  • Data modeling
  • Struct generation
  • Go backend development
Use JSON Converter

Data Format Comparison

JSON

JavaScript Object Notation - lightweight data interchange format

Advantages

  • Widely supported
  • Compact size
  • Fast parsing
  • Native JS support

Considerations

  • No comments
  • Limited data types
  • Less human-readable

Best For

APIs
Web apps
Databases
Configuration

YAML

YAML Ain't Markup Language - human-readable data serialization

Advantages

  • Human-readable
  • Supports comments
  • Multi-line strings
  • Hierarchical

Considerations

  • Indentation sensitive
  • Larger file size
  • Slower parsing

Best For

Config files
Docker
Kubernetes
CI/CD

Go Struct

Go language struct definitions - strongly typed data structures

Advantages

  • Type safety
  • Compile-time validation
  • Performance
  • IDE support

Considerations

  • Go specific
  • Requires compilation
  • Less flexibility

Best For

Go APIs
Data modeling
Type definitions
Backend services

When to Use Each Format

Web Development

JSON for: APIs, AJAX requests, NoSQL databases, client-server communication

YAML for: Build configs, documentation, human-readable data exchange

DevOps & Infrastructure

YAML for: Docker Compose, Kubernetes, Ansible, GitHub Actions

JSON for: API configs, Terraform state, monitoring data

Data Processing & Development

JSON for: Data pipelines, ETL processes, machine learning datasets

YAML for: Configuration management, documentation, human review

Go Struct for: Type-safe APIs, data models, backend services, microservices

Format Examples

JSON Format

Structured, machine-readable format

{
  "name": "John Doe",
  "age": 30,
  "skills": ["JavaScript", "React"],
  "address": {
    "city": "New York",
    "zipCode": "10001"
  }
}

YAML Format

Human-readable, configuration-friendly format

name: John Doe
age: 30
skills:
  - JavaScript
  - React
address:
  city: New York
  zipCode: "10001"
# Comments are supported in YAML

Go Struct Format

Type-safe Go language struct definitions

type Person struct {
    Name    string   `json:"name"`
    Age     int      `json:"age"`
    Skills  []string `json:"skills"`
    Address Address  `json:"address"`
}

type Address struct {
    City    string `json:"city"`
    ZipCode string `json:"zipCode"`
}