JSON to Code Generator — Go, Python, Java, Kotlin, C# & Rust
Paste a JSON sample and get typed data structures in the language you need — Go structs, Python dataclasses or Pydantic v2 models, Java records, Kotlin data classes, C# classes, or Rust structs. Nested objects, merged arrays, and optional or null fields are handled for you. Runs entirely in your browser; nothing is uploaded.
How it works
This is a deterministic source-to-source transformation, not a guess. The JSON is parsed once with JSON.parse following RFC 8259, which defines the six JSON value types — object, array, string, number, boolean, and null. A single recursive pass infers a language-neutral shape for every node, then a per-language emitter prints code using each language's own specification for types and serialization.
- Primitives. A JSON string maps to
string/str/String, and a boolean to the language's bool type. Because JSON has only one number type, the tool checks the literal: a whole number becomes an integer type (int64,i64,long), a decimal becomes a floating type (float64,f64,double). The 64-bit toggle switches integers between 64- and 32-bit width. - Objects become named types. Each object is emitted as a struct, record, data class, or class. The name is the PascalCased key — a
profileobject becomesProfile, and anordersarray of objects yields a singularisedOrderelement type. Structurally identical objects reuse one type; genuine name clashes get a numeric suffix. - Arrays are merged.Every element is inferred and the schemas are unioned: object fields are merged, and a key present in only some elements is marked optional. A key seen as an integer in one element and a decimal in another widens to the floating type. An empty array has nothing to infer, so its element falls back to the language's
any/Valuetype. - Optional and nullable. A missing key is optional; a null value is nullable. Both render as the idiomatic optional form — a pointer with
omitemptyin Go,Optional[T] = Nonein Python,Option<T>in Rust, a boxed nullable in Java, andT?in Kotlin and C#. - Naming and safety.Field names are cased to each language's convention (exported PascalCase for Go, snake_case for Python and Rust, camelCase for Java and Kotlin), while the original wire name is preserved in a
jsontag,@JsonProperty,serde rename,@SerialName, or[JsonPropertyName]. Keys that start with a digit or contain hyphens are sanitised (first-name→first_name), and reserved words are escaped.
Because the rules are fixed, identical input and identical options always produce byte-identical output. As a cross-check, the generator runs a structural assignability test — it confirms your original JSON value satisfies the types it just produced — and shows the result as the Accepts input badge. Every mapping is traceable to the language and serializer specifications cited below.
Worked examples
Frequently asked questions
Sources & references
- RFC 8259 — The JavaScript Object Notation (JSON) Data Interchange Format
- The Go Programming Language Specification — Struct types (and encoding/json tags)
- Pydantic v2 — Models and Field aliases
- PEP 557 — Data Classes (field defaults and ordering)
- Serde — Field attributes (#[serde(rename = "...")])
- Microsoft Docs — System.Text.Json and [JsonPropertyName]
- Kotlin — Data classes (with kotlinx.serialization @SerialName)
The type-mapping rules on this page were last cross-checked against the language and serializer specifications above on 2026-07-16. The generator is deterministic, so its output can be reproduced exactly from the same input and options.
Related tools
Comments & feedback
Spotted a bug or want an improvement? Tell us — our team reviews every comment, and good ideas get built. Comments are public and anonymous.
Found a JSON shape that generates wrong code, or want another language target?
Email me at [email protected] — most fixes ship within 24 hours.