- Paste your JSON data or click Load Demo to try with sample data
- The Go struct is generated instantly as you type
- Review the generated struct with proper json tags
- Copy the generated code or download as a .go file
- Use the struct in your Go project for JSON marshaling/unmarshaling
What are json tags in Go structs?
Json tags are annotations that tell Go's encoding/json package how to map struct fields to JSON keys. They're specified using backticks like `json:"fieldName"` and enable proper JSON serialization and deserialization.
How does the tool handle nested JSON objects?
The converter creates separate struct definitions for each nested object. For example, if your JSON has a user with an address, it generates both User and Address structs with proper type references.
What Go types are generated for JSON values?
The tool maps JSON types to Go types: strings become string, integers become int, decimals become float64, booleans become bool, arrays become slices, and objects become nested structs.
How are null values handled?
Null values in JSON are converted to interface{} in Go, which can hold any value including nil. For more specific handling, you may want to use pointer types or custom nullable types.
Can I use this for API response modeling?
Absolutely! This is one of the most common use cases. Simply paste a sample API response and get instant Go structs ready for use with json.Unmarshal() in your Go code.
Are the field names properly capitalized?
Yes! Go requires exported fields to start with uppercase letters. The tool automatically capitalizes field names while preserving the original JSON key names in the json tags.
JSON
JSON (JavaScript Object Notation) is a lightweight, text-based data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It is based on a subset of JavaScript syntax but is language-independent.
Go
Go (also known as Golang) is a statically typed, compiled programming language designed at Google. It emphasizes simplicity, efficiency, and built-in support for concurrent programming through goroutines and channels.
Text-to-Image
Text-to-Image is a generative AI task that maps a natural-language prompt, and sometimes additional controls, to one or more synthetic images sampled from a learned visual distribution.
Text-to-Video
Text-to-Video is a generative AI task that maps a natural-language prompt, and sometimes additional controls, to a synthetic sequence of frames whose visual content and change over time are jointly generated.