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Convert JSON strings into Elixir structs or Map code. Ideal for API data processing and data modeling.
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Paste valid JSON and the generator infers an Elixir representation from the sample. JSON has object, array, string, number, boolean, and null values; object member names are strings. The output is source code based on your input, not a decoder running against a live API response and not a complete contract for every possible response.
Elixir maps provide key-value data, while a struct is a named map with a defined set of fields. Generated output can be a starting point for modeling a response. A sample can show nested objects and arrays, but cannot prove that a field is always present, never null, or the only shape that future records may use.
The Elixir option “Just Type Definitions” is on by default; turn it off to request the fuller generated output. Set the root type name, then inspect the generated file before integrating it. RFC 8259 describes JSON values and object-name rules; Elixir’s documentation describes struct behavior.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Paste complete, valid JSON. Include nested objects or arrays when they are part of the response you want to model.
Choose a root type name that makes sense for the main generated type.
Leave “Just Type Definitions” on for definitions only, or turn it off for fuller output.
Check generated field names, nested types, null cases, and list elements against the real interface requirements.
Copy or download the code, then compile and test it in the Elixir project that will use it.
For example, {"name":"Avery","age":28} supports a string field and numeric field in that sample. It does not establish whether age is optional in other responses or may be null.
Use cases
See how the tool fits into real work and everyday tasks.
Use a representative API response to get a first-pass view of nested objects and arrays, then compare with the published contract.
Share generated output as a draft for reviewing names, boundaries, and cases the sample does not cover.
Generate definitions from test JSON, then compile and test them in the application before treating them as project code.
Q&A
Find concise answers to common questions and confusing cases.
No. It generates source code. Your application still needs to compile it and use an appropriate JSON decoding flow to create runtime values.
No. A field appearing once does not establish the full set of allowed responses. Use representative samples and the service contract to confirm required, missing, and null cases.
Review the output. JSON keys are strings, and names with punctuation, unusual casing, or reserved-word concerns may need mapping or manual edits.
Notes
Review scope, result limitations, and important precautions before use.
Sample inference cannot replace an API schema or application tests. Check field naming, nested types, absent fields, null values, alternative variants, and numeric limits against the contract. Do not assume inferred definitions enforce runtime input validation. Avoid pasting confidential payloads into an environment unless it is approved for that data.
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