SearchCtrl K
WarpTool
Code & DataText ToolsImage & MediaFont StylesSEO & Web
Back

JSON to Rust

Generate Rust classes/structs automatically from a JSON object.

100% Client-Side Local Execution
Class Name:
Input Data
1
Transformed Result
1 2 3 4 5 6 7 8 9 10

What is JSON to Rust?

This free online tool turns a sample JSON payload into a ready-to-use struct with serde derive macros for Rust, so you can use this json to rust struct tool to go straight from raw JSON to a typed struct without writing the boilerplate yourself. It is built around Rust's actual idiom — a serde struct — rather than a generic one-size-fits-all class, and pairs naturally with serde and serde_json for real-world (de)serialization. Use it for json to rust struct online or any time you need rust struct from json, whether you're scaffolding a new Rust project or mapping an existing API response.

Technical Execution

Paste or upload a sample JSON object or array and the tool walks its structure field by field, inferring a concrete Rust type for each value — mapping basic JSON types to `String`, `i64`/`f64`, and `bool` as appropriate. For nested data, it defines a separate `#[derive(Serialize, Deserialize)]` struct for every nested JSON object, and types arrays as `Vec<T>` of the matching element type. On the naming side, it converts snake_case JSON keys directly since that already matches Rust's field-naming convention, and adds `#[serde(rename = "originalKey")]` automatically when a key is camelCase or otherwise doesn't match Rust style. For optional data, fields observed as `null`, or absent from some sample objects, are typed as `Option<T>` and annotated so `serde` deserializes missing data as `None` instead of failing.

Zero Data Storage Guarantee

Everything runs client-side in your browser: the sample JSON you paste in — which may contain real field names, endpoint shapes, or structure from a private API or project — is parsed and converted entirely on your device and is never uploaded to any server. Nothing you enter is logged, stored, or transmitted anywhere, so you can safely paste a real payload from an internal or unreleased API to generate an accurate serde struct. Closing or refreshing the tab clears everything, since no copy of your data ever left your machine in the first place.

How to Use JSON to Rust (Step-by-Step Guide)

  1. Copy a representative sample of your JSON (the more fields and nested objects it includes, the more complete the generated struct will be).
  2. Paste it into the input panel of the JSON to Rust tool, or click "Upload" to load it from a json file.
  3. Review the auto-detected root name, and rename it if you want the generated serde struct to use a specific class or type name instead of the default.
  4. Click "Generate" to produce the Rust struct, which appears instantly in the output panel with syntax highlighting.
  5. Click "Copy" to copy the generated code to your clipboard, or "Download" to save it as a `.rs` file.
  6. Paste the result into your Rust project and adjust field names or types if your data has edge cases the sample didn't cover.

Frequently Asked Questions (FAQ)

Q: How does this tool handle nested objects and arrays when converting JSON to Rust?
A: The tool defines a separate `#[derive(Serialize, Deserialize)]` struct for every nested JSON object, and types arrays as `Vec<T>` of the matching element type That keeps the generated code organized the way a Rust developer would structure it by hand, instead of flattening everything into one giant struct.
Q: What happens to fields that are nullable or missing from some records?
A: For optional data, fields observed as `null`, or absent from some sample objects, are typed as `Option<T>` and annotated so `serde` deserializes missing data as `None` instead of failing. If your sample only has one example object, fields that could be null in other records might not be detected as optional — paste a few varied samples (or an array of objects) for the most accurate result.
Q: Is this better than writing the struct by hand?
A: For anything beyond a trivial, flat payload, yes — writing serde structs by hand for a nested payload means tracking every `#[serde(rename = ...)]` attribute and `Option<T>` wrapper yourself, and a single mismatched attribute will fail at deserialization, not compile time. The generator produces the same result in seconds and gives you a correct starting point to refine, rather than a blank page.
Q: Is my JSON data safe to paste into this tool, especially if it's from a private API?
A: Yes. Everything runs client-side in your browser: the sample JSON you paste in — which may contain real field names, endpoint shapes, or structure from a private API or project — is parsed and converted entirely on your device and is never uploaded to any server. Nothing you enter is logged, stored, or transmitted anywhere, so you can safely paste a real payload from an internal or unreleased API to generate an accurate serde struct. Closing or refreshing the tab clears everything, since no copy of your data ever left your machine in the first place.
Q: Can I use this as a convert json to rust serde struct?
A: Yes — the tool is commonly used as a convert json to rust serde struct, and works the same way whether you're converting a one-off response for a prototype or generating model code for a production project.
Q: Does the tool rename fields to match Rust naming conventions?
A: Yes. It converts snake_case JSON keys directly since that already matches Rust's field-naming convention, and adds `#[serde(rename = "originalKey")]` automatically when a key is camelCase or otherwise doesn't match Rust style, so the generated code reads naturally in Rust while still deserializing the original JSON correctly.
Q: What Rust library does the generated code work with?
A: The output is written to pair cleanly with serde and serde_json, the most common choice for Rust developers handling JSON, so you can drop it into an existing project without changing your serialization setup.
Q: Does this tool work for deeply nested or large JSON samples?
A: Yes. The tool recurses through every level of nesting it finds and generates a complete set of linked struct definitions, not just the top level — though for very large samples, trimming it down to one representative record per array is usually enough to get an accurate result.
Report an issue with this tool