JSON to Rust Struct Converter
Convert JSON objects to Rust struct definitions with Serde support. Perfect for API integration, data modeling, and type-safe deserialization in Rust projects.
Conversion Options
Recommended Settings
Rust Struct Best Practices
- •Use snake_case for field names following Rust conventions
- •Derive Debug and Clone for easy debugging and copying
- •Always include Serialize/Deserialize for JSON handling
- •Make fields public (pub) for structs in public APIs
- •Use #[serde(rename_all)] to match JSON naming conventions
Type Selection Guide
- •String: Owned heap string, use for most text data
- •i32: Default integer type, sufficient for most numbers
- •i64: Use for large integers or timestamps
- •f64: Default floating-point, handles decimals accurately
- •Vec<T>: Growable array type for collections
Pro Tips
- •Serde is the de facto standard for serialization in Rust
- •Use Option<T> for nullable fields to handle missing JSON values
- •camelCase rename strategy works best with JavaScript/JSON APIs
- •Add PartialEq derive to enable struct comparison with ==
Most Popular
snake_case fields with camelCase serde rename for JSON APIs
When to Use This Tool
Generate type-safe Rust structs from API responses for consuming REST APIs. Ensures compile-time type checking and automatic serialization/deserialization with serde_json.
Create structs for parsing JSON configuration files in Rust applications. Provides strong typing and validation for config data with automatic error handling.
Model complex data structures in Rust based on JSON schemas or sample data. Perfect for database models, message formats, and data transfer objects.
Define message formats for inter-service communication in microservices architecture. Ensures consistent data structures across service boundaries with compile-time guarantees.
Create Rust structs for WASM projects that communicate with JavaScript via JSON. Enables seamless data exchange between Rust and JavaScript with type safety.
Generate test fixtures and mock data structures from sample JSON responses. Simplifies unit testing of API clients and data processing logic.
How It Works
Parse and validate JSON input
Detect field types and nested objects
Convert field names to Rust conventions
Generate nested struct definitions
Apply serde attributes and derives
Format output with proper indentation
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Frequently Asked Questions
What is Serde and why do I need it?
Serde is Rust's most popular serialization framework. It provides the Serialize and Deserialize traits that enable automatic conversion between Rust structs and JSON (or other formats). Without Serde, you'd need to manually parse JSON, which is error-prone and tedious.
Should I use snake_case or keep original field names?
Use snake_case for Rust fields as it's the language convention. Then use #[serde(rename_all = "camelCase")] to automatically map to JSON's camelCase format. This gives you idiomatic Rust code that still works with JSON APIs.
When should I use i32 vs i64 for integers?
Use i32 for most integers as it's more memory-efficient. Use i64 for: large numbers that exceed ±2 billion, timestamps (Unix epoch), IDs from databases that use BIGINT, or when you need guaranteed 64-bit precision across all platforms.
What does pub mean and when should I use it?
pub makes structs and fields publicly accessible from other modules. Use pub for: API response types, public library interfaces, and shared data structures. Omit pub for internal implementation details that should stay private to a module.
How do I handle null values in JSON?
Rust uses Option<T> for nullable fields. If a JSON field can be null or missing, wrap its type in Option. For example, Option<String> can be Some("value"), Some(""), or None. Use #[serde(skip_serializing_if = "Option::is_none")] to omit None values when serializing.
What derives should I always include?
For JSON structs, always include: Debug (for debugging), Clone (for copying), Serialize, and Deserialize (for JSON conversion). Optionally add Default (for default values), PartialEq (for comparison), and Eq (for exact equality).
Can I use this for nested JSON objects?
Yes! The tool automatically generates separate struct definitions for nested objects. Nested structs are defined before their parent structs, so the Rust code compiles correctly. Each nested object becomes its own typed struct.
How do I actually use the generated Rust code?
Add serde and serde_json to your Cargo.toml dependencies. Then use: serde_json::from_str::<YourStruct>(&json_string) to deserialize JSON into your struct, or serde_json::to_string(&your_struct) to serialize the struct back to JSON.