json to rust serde struct converter

typetools

instant, client-side type converter • 0ms network latency

root:
307 chars
use serde::{Deserialize, Serialize};
use serde_json::Value;

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct Metadata {
    #[serde(rename = "lastLogin")]
    pub last_login: String,
    #[serde(rename = "ipAddress")]
    pub ip_address: String,
    #[serde(rename = "failedAttempts")]
    pub failed_attempts: Option<Value>,
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct RootPayload {
    #[serde(rename = "userId")]
    pub user_id: String,
    pub username: String,
    pub email: String,
    #[serde(rename = "isActive")]
    pub is_active: bool,
    pub score: f64,
    pub roles: Vec<String>,
    pub metadata: Metadata,
    pub tags: Vec<Value>,
}
0.15ms•in-browser
documentation, edge cases & specifications below

step-by-step integration guide

technical specification differences & end-to-end conversion workflow

Zero-Cost Deserialization with Rust and Serde vs. Dynamic JSON

Unlike runtime-reflection deserializers in garbage-collected languages, Rust's serde and serde_json ecosystem relies on compile-time procedural macros (#[derive(Serialize, Deserialize)]) to generate specialized state-machine visitors for every struct. This architecture achieves near-zero-copy deserialization speeds without heap allocations for temporary AST maps, but it requires strict compile-time alignment between the JSON wire structure and Rust's ownership and algebraic type system. Furthermore, Rust enforces snake_case field identifiers via compiler lints (non_snake_case), whereas JSON APIs predominantly use camelCase, PascalCase, or kebab-case keys, necessitating attribute macros to bridge naming conventions.

Synthesizing Option, Box, and Serde Field Attributes

Our AST converter analyzes your raw JSON payload and emits idiomatic Rust 2021+ data structures. Whenever a JSON object utilizes camelCase keys, the generator attaches #[serde(rename_all = "camelCase")] at the struct level and converts all Rust field names to idiomatic snake_case. If an individual key is a reserved Rust keyword (such as type, match, or ref), the generator emits a raw identifier (r#type) or an explicit #[serde(rename = "type")] attribute. Nullable fields or keys omitted across homogeneous object arrays are automatically wrapped in Rust's algebraic Option<T> enum so serde_json::from_str never panics on missing keys. For empty arrays or dynamically typed dictionary maps, the generator safely falls back to Vec<serde_json::Value> or HashMap<String, serde_json::Value>.

frequently asked questions

common developer questions answered

q:How does the converter handle JSON keys that are reserved Rust keywords like 'type' or 'mod'?

When a JSON key collides with a strict Rust keyword (such as type, move, or async), the generator renames the struct field (e.g., type_field) and annotates it with #[serde(rename = "type")] so serialization matches the exact JSON payload.

q:Why are nullable and optional JSON properties wrapped in Option<T>?

Rust does not have a null pointer primitive in safe code. Wrapping nullable or potentially missing JSON properties in Option<T> tells serde_json to deserialize null or absent keys into Option::None without failing.

q:How are numeric types (i64, u64, f64) chosen from JSON numbers?

The AST analyzer checks all numeric instances for a given key: if any value contains a decimal point, the field is typed as f64; otherwise, signed 64-bit integers (i64) are used to prevent integer overflow.

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