JSON to Go Struct Converter

JSON to Go Struct: Core Features and Principles

When you need to map JSON API responses or configuration files into Go, manually writing struct definitions is both time-consuming and error-prone. This tool parses your input JSON string and automatically generates the corresponding Go struct code with the correct JSON tags. It is essentially a JSON to Go code generator that maps the key-value pairs of a JSON object to Go struct fields and types, serving as a common preprocessing step for Go developers handling external data sources.

Why Choose Our JSON to Go Struct Tool?

• Smart Type Inference: Automatically infers the best matching Go type (e.g., int/float64, string, bool, []type, struct) based on the format of the JSON values (such as numbers, strings, booleans, arrays, nested objects) and generates the corresponding JSON tags.
• Naming Convention Conversion: Automatically converts JSON snake_case or camelCase field names to Go's PascalCase exported field names while preserving the original field name in the json tag, ensuring flawless serialization and deserialization.
• Real-Time Parsing and Generation: See the generated Go code in the editor instantly after inputting JSON. It supports JSON array root elements and handles null values (typically generating pointer types) for rapid iteration and validation.

Tool Tutorial

1. Paste or type valid JSON data into the left input box.
2. The tool will parse it in real-time and display the generated Go struct code in the right output box.
3. Review the generated field types and struct names, then copy the code for use in your Go project.

Frequently Asked Questions (FAQ)

Q: How are null values handled when converting JSON to Go structs?
For null values in JSON, the tool typically generates a pointer type for the corresponding field (e.g., *string, *int) to represent a "nullable" state in Go. This is a common pattern for handling JSON null values in Golang.

Q: What happens if the input JSON format is invalid?
The tool cannot perform the conversion. Please ensure your input is standard, valid JSON; otherwise, the conversion will fail or generate incorrect code. We recommend validating it with a JSON validator tool first.

Important Notes

Please ensure your input JSON format is correct and valid. The generated struct name defaults to a generic name (like AutoGenerated), so please rename it according to your business context. The types inferred by the tool (e.g., whether a number is an int or float64) may need manual adjustment based on your actual data range. This tool performs conversions entirely on the frontend; your JSON data is never uploaded to our servers, ensuring complete privacy.

Technical Notes / Usage Suggestions

For complex JSON fields where the type might change (e.g., a field that could be either a string or a number), the tool may not infer it perfectly. In such cases, we recommend manually adjusting the field type to a more generic type like interface{} or using a custom UnmarshalJSON method after generating the code. Additionally, the generated json tags use the original field names by default. If an API field name is unusual (e.g., contains spaces), you will need to manually adjust the tag string.

Typical Example:
Input: {"user_name": "alice", "age": 30, "active": true, "tags": ["go", "json"], "profile": {"level": 1}}
Output: type AutoGenerated struct {
  UserName string `json:"user_name"`
  Age int `json:"age"`
  Active bool `json:"active"`
  Tags []string `json:"tags"`
  Profile struct {
    Level int `json:"level"`
  } `json:"profile"`
}