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Infer C++ types or models from one representative JSON sample.
Open the guide when you need step-by-step help or a sample. The live workspace stays first.
Enter JSON in the workspace or use the available Load Data options.
Run Generate C++ models. Adjust the available settings first when needed.
Review C++, Errors. Resolve any reported errors before using the result.
Continue with Copy, Download.
Example input: JSON
{"service":"formathive","enabled":true,"owners":[{"name":"Asha"},{"name":"Mina"}],"limits":{"payloadKb":256}}Result in the live workspace
Run Generate C++ models in the live workspace above to generate the result. Review it in C++, Errors.
Go to the live workspaceSetup notes, privacy details, and examples when needed.
Use JSON to C++ for an initial model scaffold, then review and edit the generated code. One sample is not a schema: missing, optional, nullable, union, numeric-range, validation, naming, and domain constraints may be inferred incompletely or incorrectly.
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