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Instantly parse standard JSON data into Codable-compliant Swift structs or classes for iOS and macOS development.
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Paste a valid JSON object or array to generate Swift type definitions based on the values present in that sample. You can name the root type, choose a struct or class, and adjust generation options. Nested objects become related model types, while arrays are inferred from their example elements. This is a starting model inferred from sample data, not a schema validator or a guarantee about every response an API may return.
The “type definitions only” option is enabled by default. In that mode, the output focuses on the model types and does not add Codable conformance or JSON key mappings. Turn that option off when you want the fuller generated form, then inspect the generated CodingKeys, initializer, and helper code before using it. In Swift, Codable combines encoding and decoding protocols, and custom coding keys can map JSON names to Swift property names.
Inference depends on the sample. A field that appears once may still be absent or null in other responses; empty arrays provide no element example; and fields with different shapes need deliberate modeling. Date-like strings or number-like strings may also need a different type from the one inferred.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Use a JSON object or array with double-quoted strings and no comments or trailing commas. If parsing fails, correct the input before reviewing code.
Replace Root with a domain name such as AccountResponse so the generated model is easier to use and maintain.
Keep “type definitions only” for a compact model skeleton. Turn it off for generated Codable-related code, and review the mapping and helper options.
Check optionality, dates, UUIDs, enums, numeric values, and nested arrays against the API contract. Do not treat the sample as proof that all future values have the same shape.
Bring the Swift source into your project and decode representative real responses, including missing fields, nulls, empty arrays, and alternate values.
Use cases
See how the tool fits into real work and everyday tasks.
Paste a representative response to draft nested Swift types, then compare each property with the endpoint documentation before integrating decoding.
Generate types from an updated sample and inspect new or reshaped fields as a prompt for an API compatibility review.
Try a small sample with strings, numbers, arrays, booleans, and nested objects to see how the selected options affect the resulting declarations.
Q&A
Find concise answers to common questions and confusing cases.
No. “Type definitions only” starts enabled, so the default is model declarations without Codable conformance. Turn it off for fuller generated Codable-related code.
A single sample only shows that the field appeared once. If the API can omit it or return null, update the model and test against those responses.
Check the selected output mode and generated mapping. Type-only output does not include a CodingKeys mapping; fuller output can generate coding keys, which should be reviewed against the original JSON keys.
Date inference is enabled by default. If the API treats that value as text or uses inconsistent date formats, turn off the inference or adjust the model and decoder strategy.
Notes
Review scope, result limitations, and important precautions before use.
Generated code is a draft based on the JSON sample you provide. It does not validate an API schema or establish that production data will always match the sample.
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