JSON to Go Converter

Go's static type system uses structs with JSON struct tags to define how JSON data maps to typed fields. Manually writing struct definitions for complex API responses is one of the most tedious parts of Go development — deeply nested responses with dozens of fields require precise tag formatting and correct type mapping. The AllTools JSON to Go converter automates this process, producing struct definitions with proper json:"fieldName" tags that encoding/json.Unmarshal() uses for deserialization. JSON strings map to Go string, numbers to int64 or float64 (based on whether the value contains a decimal), booleans to bool, null values to pointer types (*string, *int64), and nested objects generate separate named structs. Arrays become slices ([]ElementType). The converter follows Go naming conventions: exported field names use PascalCase, struct names are singular nouns, and JSON tags preserve the original camelCase or snake_case key names from the API response. The output includes the necessary import statement for encoding/json when applicable. All generation runs in the browser — your API response data containing potentially sensitive business information never leaves your device.

Go's encoding/json package provides robust JSON serialization, but several best practices improve the reliability and maintainability of JSON-handling code. Use pointer types (*string, *int) for optional fields — this distinguishes between a field being absent (nil pointer) and a field being present with its zero value (empty string or 0). Add omitempty to struct tags (json:"name,omitempty") for fields that should be excluded from marshaled output when empty. Use json:"-" to completely exclude a field from JSON operations. For fields that may contain different types across API responses, use interface{} (or any in Go 1.18+) with type assertions. Consider using custom UnmarshalJSON methods for complex type conversions like parsing date strings into time.Time values. For high-performance JSON processing, libraries like easyjson and jsoniter offer faster serialization than the standard library. The generated structs from the AllTools converter serve as starting points that you can extend with these patterns based on your specific API contract and business requirements.