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JSON to C#

Generate C# classes/structs automatically from a JSON object.

100% Client-Side Local Execution
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What is JSON to C#?

This free online tool turns a sample JSON payload into a ready-to-use class with public property getters/setters for C#, so you can use this json to c# class tool to go straight from raw JSON to a typed C# class without writing the boilerplate yourself. It is built around C#'s actual idiom — a C# class — rather than a generic one-size-fits-all class, and pairs naturally with System.Text.Json or Newtonsoft.Json (Json.NET) for real-world (de)serialization. Use it for json to c# class online or any time you need json to c# model generator, whether you're scaffolding a new C# 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 C# type for each value — mapping basic JSON types to `string`, `int`, `bool`, and `double` as appropriate. For nested data, it generates a separate class for every nested JSON object, and types arrays as `List<T>` using the matching element class. On the naming side, it converts snake_case or lowerCamelCase keys to C#'s PascalCase property convention and adds a `[JsonPropertyName("original_key")]` (or `[JsonProperty]`) attribute so the mapping round-trips correctly. For optional data, fields observed as `null`, or missing from some samples, are typed as nullable value types (`int?`, `bool?`) or left as reference types that already allow null, matching how `System.Text.Json` and Json.NET both deserialize optional data.

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 C# class. 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 C# (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 C# class will be).
  2. Paste it into the input panel of the JSON to C# 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 C# class to use a specific class or type name instead of the default.
  4. Click "Generate" to produce the C# C# class, 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 `.cs` file.
  6. Paste the result into your C# 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 C#?
A: The tool generates a separate class for every nested JSON object, and types arrays as `List<T>` using the matching element class That keeps the generated code organized the way a C# developer would structure it by hand, instead of flattening everything into one giant C# class.
Q: What happens to fields that are nullable or missing from some records?
A: For optional data, fields observed as `null`, or missing from some samples, are typed as nullable value types (`int?`, `bool?`) or left as reference types that already allow null, matching how `System.Text.Json` and Json.NET both deserialize optional data. 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 C# class by hand?
A: For anything beyond a trivial, flat payload, yes — typing out a C# class with every property, its getter/setter, and the right `JsonPropertyName` attribute for a large nested response is repetitive and a common source of silent deserialization mismatches. 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 C# class. 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 c# class free?
A: Yes — the tool is commonly used as a convert json to c# class free, 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 C# naming conventions?
A: Yes. It converts snake_case or lowerCamelCase keys to C#'s PascalCase property convention and adds a `[JsonPropertyName("original_key")]` (or `[JsonProperty]`) attribute so the mapping round-trips correctly, so the generated code reads naturally in C# while still deserializing the original JSON correctly.
Q: What C# library does the generated code work with?
A: The output is written to pair cleanly with System.Text.Json or Newtonsoft.Json (Json.NET), the most common choice for C# 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 C# class 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.
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