Free JSON to Go Converter - Generate Go Structs Instantly | ToolsAid

The Free JSON to Go Struct Converter is the ultimate productivity tool for Go (Golang) developers. Manually writing struct definitions for complex API responses, configuration files, or data models is tedious, error-prone, and time-consuming. This tool eliminates that pain by instantly generating clean, idiomatic Go structs from any JSON input.

Why Use This JSON to Go Converter?

• Save Hours of Work: What takes 30 minutes of manual struct writing becomes a 3-second copy-paste operation.
• Zero Errors: Eliminate typos, incorrect types, and missing fields that plague manual struct creation.
• Smart Type Detection: Automatically detects int, float64, bool, string, slices, and nested structs.
• Nested Object Handling: Creates separate, well-organized struct definitions for nested objects following Go best practices.
• Instant JSON Tags: Generates json:"fieldName" tags automatically for seamless marshaling/unmarshaling.
• API Integration Ready: Perfect for integrating with REST APIs, GraphQL, webhooks, or any JSON-based service.
• 100% Private: All processing happens in your browser - your sensitive JSON data never leaves your device.

How It Works

1. Paste your JSON data into the input field (API response, config file, or any JSON object).
2. The converter analyzes the structure and automatically detects types for all fields.
3. Clean, idiomatic Go struct code is generated instantly with proper formatting and tags.
4. Copy the generated struct and paste directly into your Go project - it compiles immediately!
5. Customize as needed (rename structs, change types, add validation tags).

Key Features

• Instant Conversion: Real-time generation as you paste JSON - no waiting or processing delays.
• Nested Struct Support: Automatically creates separate struct definitions for nested objects with meaningful names.
• Array/Slice Handling: Detects arrays and generates proper Go slice types (e.g., []User, []string).
• Type Inference: Smart detection of int, float64, bool, string, and complex types.
• JSON Tags: Auto-generates json:"key" tags for all fields for immediate compatibility with encoding/json.
• Clean Formatting: Generated code follows Go conventions with proper indentation and spacing.
• Null Safety: Maps null values to interface{} when type cannot be determined.
• Client-Side Processing: Zero server uploads - works offline after initial page load.

Perfect For

Backend Developers: Quickly create structs for REST API responses from Stripe, PayPal, GitHub, AWS, etc.
Microservice Developers: Generate structs for inter-service communication and message queue payloads.
API Integrators: Build third-party API clients by converting endpoint responses to Go structs.
Go Beginners: Learn proper struct design patterns by seeing how JSON maps to Go types.
DevOps Engineers: Parse JSON logs, configuration files, and monitoring data into typed Go structures.
Full-Stack Developers: Bridge frontend JSON responses with backend Go services seamlessly.
Open Source Contributors: Quickly scaffold data models for Go projects.

Common Use Cases

• API Response Parsing: Convert REST API responses (GitHub, Stripe, Shopify) to Go structs for unmarshaling.
• Configuration Files: Generate structs for JSON config files to load application settings.
• Webhook Handlers: Create structs for webhook payloads from services like Discord, Slack, or Twilio.
• Database Records: Model database query results that return JSON (PostgreSQL JSONB, MongoDB).
• GraphQL Responses: Convert GraphQL query responses to Go structs for type-safe handling.
• Message Queues: Define structs for RabbitMQ, Kafka, or SQS message payloads.
• External Data Sources: Parse JSON from CSV exports, data feeds, or scraping results.
• Testing: Create mock data structures for unit tests and integration tests.

Example Conversion

Input JSON:

{
  "id": 12345,
  "name": "John Doe",
  "email": "john@example.com",
  "active": true,
  "balance": 99.99,
  "address": {
    "street": "123 Main St",
    "city": "New York",
    "zip": "10001"
  },
  "tags": ["premium", "verified"]
}

Generated Go Struct:

type User struct {
    ID      int      `json:"id"`
    Name    string   `json:"name"`
    Email   string   `json:"email"`
    Active  bool     `json:"active"`
    Balance float64  `json:"balance"`
    Address Address  `json:"address"`
    Tags    []string `json:"tags"`
}

type Address struct {
    Street string `json:"street"`
    City   string `json:"city"`
    Zip    string `json:"zip"`
}

Best Practices & Tips

• Use Representative JSON: Paste the most complete JSON example with all possible fields to ensure nothing is missed.
• Review Generated Types: Check if you need int64 instead of int for IDs, or float32 for memory optimization.
• Add Pointer Types for Optionals: For optional fields, change types to pointers (e.g., *string) to distinguish null from empty values.
• Rename Structs Meaningfully: Change generic names like AutoGenerated to domain-specific names like User or Product.
• Add Additional Tags: Supplement with yaml, xml, or validation tags if needed for your use case.
• Test Unmarshaling: Always test with json.Unmarshal() to ensure the struct works correctly with real data.
• Handle Time Fields: JSON timestamps may be detected as strings - change to time.Time and add custom unmarshaling if needed.

Type Detection Rules

Privacy & Security

Your JSON data stays 100% private. All conversion happens entirely in your browser using JavaScript. Your sensitive API responses, configuration files, or proprietary data structures are never uploaded to any server. This makes it safe for working with:

• ✅ Confidential API keys in JSON configs
• ✅ Customer data from production API responses
• ✅ Proprietary schemas from internal services
• ✅ Sensitive business logic embedded in data structures
• ✅ Private repository data models

Pro Tip: After generating your structs, consider adding custom validation tags using libraries like validator or ozzo-validation to ensure data integrity when unmarshaling API responses!