JSON to Pike

Generate Pike classes/structs automatically from a JSON object.

100% Client-Side Local Execution

Upload Data

Class Name:

1

{"id": 1, "name": "Omni", "isActive": true, "tags": ["tool", "web"]}

{"id": 1, "name": "Omni", "isActive": true, "tags": ["tool", "web"]}

class ResponseData {
  int id;
  string name;
  int isActive;
  array(string) tags;
}

class ResponseData {
  int id;
  string name;
  int isActive;
  array(string) tags;
}

What is JSON to Pike?

This free online tool turns a sample JSON payload into a ready-to-use class for Pike, so you can use this json to pike class generator tool to go straight from raw JSON to a typed class without writing the boilerplate yourself. It is built around Pike's actual idiom — a Pike class — rather than a generic one-size-fits-all class, and pairs naturally with Pike's Standards.JSON module for real-world (de)serialization. Use it for json to pike struct online or any time you need pike language json mapping, whether you're scaffolding a new Pike 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 Pike type for each value — mapping basic JSON types to `string`, `int`/`float`, and `int(0..1)` as appropriate. For nested data, it generates a separate class for every nested JSON object, and represents arrays as Pike's native `array(T)` type of the matching element type. On the naming side, it keeps the original JSON key names as Pike variable names where they're valid identifiers, only adjusting characters that Pike's parser wouldn't accept in a variable name. For optional data, fields seen as `0` (Pike's null-like value) or missing from some sample objects are typed loosely and left unset by default, since Pike's type system treats `0` as a valid value for most types.

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 Pike 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 Pike (Step-by-Step Guide)

Copy a representative sample of your JSON (the more fields and nested objects it includes, the more complete the generated class will be).
Paste it into the input panel of the JSON to Pike tool, or click "Upload" to load it from a json file.
Review the auto-detected root name, and rename it if you want the generated Pike class to use a specific class or type name instead of the default.
Click "Generate" to produce the Pike class, which appears instantly in the output panel with syntax highlighting.
Click "Copy" to copy the generated code to your clipboard, or "Download" to save it as a `.pike` file.
Paste the result into your Pike 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 Pike?

A: The tool generates a separate class for every nested JSON object, and represents arrays as Pike's native `array(T)` type of the matching element type That keeps the generated code organized the way a Pike developer would structure it by hand, instead of flattening everything into one giant class.

Q: What happens to fields that are nullable or missing from some records?

A: For optional data, fields seen as `0` (Pike's null-like value) or missing from some sample objects are typed loosely and left unset by default, since Pike's type system treats `0` as a valid value for most types. 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 class by hand?

A: For anything beyond a trivial, flat payload, yes — writing a Pike class by hand to mirror a nested JSON structure means working without the type inference or tooling that more mainstream languages offer, so a generator saves meaningful time even on modest payloads. 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 Pike 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 pike class?

A: Yes — the tool is commonly used as a convert json to pike class, 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 Pike naming conventions?

A: Yes. It keeps the original JSON key names as Pike variable names where they're valid identifiers, only adjusting characters that Pike's parser wouldn't accept in a variable name, so the generated code reads naturally in Pike while still deserializing the original JSON correctly.

Q: What Pike library does the generated code work with?

A: The output is written to pair cleanly with Pike's Standards.JSON module, the most common choice for Pike 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 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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