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How to Convert JSON Schema to Rust - Step by Step Guide

Step 1

Input Your JSON Schema

Start by providing your JSON Schema definition for Rust code generation. Whether you're building an API, validating configuration files, or defining data structures for your Rust application, you have several convenient options. AI tools like ChatGPT or Perplexity AI can help refine the schema and generated structs:

Paste directly: Copy your JSON Schema from OpenAPI specs, API documentation, or schema files and paste it into the input editor
Upload a file: Click "Upload" to select a .json schema file from your computer
Try the sample: Click "Sample" to load example JSON Schema and see how the converter works

Example: JSON Schema Input

A typical JSON Schema defining a User object with validation rules:

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "User",
  "type": "object",
  "required": ["id", "email"],
  "properties": {
    "id": { "type": "integer" },
    "email": { "type": "string", "format": "email" },
    "name": { "type": "string" }
  }
}
Step 2

Automatic Rust Code Generation

The converter instantly generates type-safe Rust structs with proper serde annotations:

Type mapping: Automatically converts JSON Schema types to appropriate Rust types (String, i64, bool, etc.)
Optional fields: Fields not in "required" array become Option<T>
Serde annotations: Adds #[derive(Serialize, Deserialize)] for JSON serialization

Example: Generated Rust Struct

The same schema converted to idiomatic Rust code:

use serde::{Deserialize, Serialize};

#[derive(Debug, Serialize, Deserialize)]
pub struct User {
    pub id: i64,
    pub email: String,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub name: Option<String>,
}
Step 3

Customize Generation Options

Tailor the generated Rust code to match your project's conventions and requirements:

Struct name: Customize the root struct name to match your domain model
Derive traits: Add additional derives like Clone, PartialEq, Default
Field visibility: Choose between pub, pub(crate), or private fields
Step 4

Export Your Rust Code

Get your generated Rust structs ready for your project! Multiple export options make integration seamless:

Copy to clipboard: One-click copying to paste directly into your .rs files
Download as file: Save as a .rs file ready to add to your Rust project
Ready-to-compile: Generated code includes all necessary imports and annotations

Frequently Asked Questions

What is JSON Schema and why convert it to Rust?

JSON Schema is a vocabulary for annotating and validating JSON documents. Converting it to Rust generates type-safe structs that ensure compile-time validation of your data structures. This is especially useful when building APIs, consuming external services, or ensuring data consistency across your application.

Does the converter support all JSON Schema features?

The converter supports common JSON Schema features including object types, arrays, required/optional fields, nested objects, enums, and basic format validations. More advanced features like oneOf,anyOf, and allOf are handled by generating appropriate Rust enum types.

What dependencies do I need to use the generated Rust code?

The generated code requires the serde crate with the derive feature. Add this to your Cargo.toml: serde = { version = "1.0", features = ["derive"] }and serde_json = "1.0" for JSON serialization.

Can I convert OpenAPI specifications to Rust?

Yes! OpenAPI schemas are based on JSON Schema, so you can extract the schema definitions from your OpenAPI spec and convert them. The tool will generate Rust structs for request/response models defined in your API specification.

How does the converter handle nested objects and arrays?

Nested objects become separate named structs, and arrays are converted to Vec<T>where T is the appropriate Rust type. Complex nested structures are properly organized with clear type definitions that maintain the schema's hierarchy.

Is the converter free to use?

Yes, completely free with no limitations on schema size, complexity, or usage frequency. No registration required, and you can convert unlimited JSON Schemas to Rust structs for your projects.