JSON to Go Struct
Generate typed Go structs with JSON tags. Free, in your browser.
What it's for
JSON to Go struct for API development
Compatible with encoding/json
Generated code works directly with Go's standard encoding/json package — no external dependencies needed.
100% private
Your JSON is processed in the browser. Never sent to servers. Safe for sensitive API payloads.
Types correctly inferred
Detects string, int, float64, bool, arrays, and nested structs. Generates the most appropriate Go type for each value.
Instant
Generation happens as you type. No waiting, no form submissions.
How it works
Three steps, no hassle
Paste your JSON
Type or paste the JSON representing your API response or config structure. The editor validates JSON in real time.
Get your Go struct
The tool automatically generates a Go struct with inferred types (string, int, float64, bool, slice, nested struct) and `json:"field"` tags.
Copy and use in your project
Copy the generated code directly into your .go file. Compatible with Go's standard encoding/json package.
FAQ
Got questions?
Go is a strongly typed language. To decode JSON responses from an API you need a struct that matches the JSON structure. Defining these structs manually is tedious and error-prone. This tool automates that process, generating structs with correct types and `json:` tags that exactly map the fields of the original JSON.
The `json:"name"` tags on struct fields tell the encoding/json package how to serialize and deserialize that field. If the JSON has a key `user_name`, the tag `json:"user_name"` maps that field to whatever Go field name you prefer, like `UserName`. Without tags, Go requires field names to match exactly (case-sensitive).
When JSON contains objects within objects, the tool generates nested structs. For example, `{"address": {"city": "London"}}` produces an `Address` struct with field `City string`, and the parent struct will have `Address Address`. Names follow Go's CamelCase convention.
Go uses CamelCase for exported identifiers. The tool automatically converts snake_case (`user_name`), kebab-case (`user-name`), and other styles to PascalCase (`UserName`). Exported fields (starting with a capital letter) are required for encoding/json to access them.
In JSON, a field can be absent or null. In Go, the zero value of string is `""` and int is `0`, making it impossible to distinguish between 'field absent' and 'field with zero value'. Using pointers (`*string`, `*int`), nil indicates the field was absent or null. The tool generates pointers when it infers a field may be optional based on null values in the sample JSON.
Go/Golang adoption in API development, type safety, and working with JSON
Go (also called Golang) was created by Google in 2009 and publicly released in 2012. Its design prioritizes simplicity, fast compilation, and performance. Unlike Python or JavaScript, Go is strongly typed and compiled, meaning type errors are caught at compile time rather than runtime. This makes it especially valuable for backend services and APIs where reliability is critical.
Building REST APIs in Go typically involves decoding JSON from request bodies and encoding Go structs as JSON in responses. The standard library's encoding/json package handles this serialization. Struct tags like `json:"field_name,omitempty"` give fine-grained control over field mapping. Go powers tools like Docker, Kubernetes, Terraform, and CockroachDB.
Go adoption has grown consistently in the TIOBE index and Stack Overflow surveys. Its goroutine-based concurrency and efficient memory model make it ideal for high-throughput microservices. Generating structs automatically from JSON responses of external APIs (Stripe, Twilio, internal REST APIs) is a daily task for Go developers, and automating that process saves significant time on projects with complex or evolving JSON schemas.