JSON Swift Decoder

A JSON decoder for Swift that infers types, validates structure, and generates Codable model scaffolds for quick iOS integration.

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1,336+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how JSON Swift Decoder processes input data instantly inside your browser.

Sample Input Minified string: {"id":1,"status":"active","roles":["admin"]}

Computed Result

{
  "id": 1,
  "status": "active",
  "roles": [
    "admin"
  ]
}

Execution Mode Client-Side In-Browser JS

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About This Tool

The tool analyzes a JSON payload and outputs Swift Codable model scaffolds. It infers types, validates structure, and handles nested data. Produces a starting point for decoding code and unit tests, helping developers quickly integrate external APIs.
Conceptually, the tool builds a tree from the JSON, assigns Swift types to each node (String, Int, Double, Bool, Date suggestions), and marks optional fields where nulls are allowed. It generates Swift structs with Codable conformance and optionally CodingKeys when the JSON uses snake_case keys.
Who benefits: iOS developers, API integrators, QA engineers, backend teams needing rapid model sketches. Unique value: combined inference, precise path-based error reporting, and ready-to-copy Swift code that matches common decoding patterns.
Core features include strict validation, nested and array handling, sample decoding routines, and optional mappings for dates and custom types. Typical use cases: modeling API responses from test payloads, generating a model skeleton for new endpoints, and validating payload structure during integration tests.

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How to Use

Provide inputs: paste the JSON string and optional decoding options.\n
Choose decoding strategy: strict or lenient.\n
Run analysis to generate Swift Codable models.\n
Review the output: models, CodingKeys, and sample decoding code.\n
Copy code into your project and adjust as needed.\n
Validate with additional payloads to confirm robustness.

Frequently Asked Questions

Find Quick Answers

What inputs does the tool require?

The tool requires a valid JSON string as input. Optional decoding options allow you to specify naming conventions and date handling preferences. It then outputs Swift Codable model scaffolds and error reports when mismatches occur.

Can it generate Swift code for models?

Yes. In addition to inferred models, the tool can emit Swift Codable structs with properties and CodingKeys that reflect the input JSON structure for quick integration.

How are dates handled?

By default, fields that resemble dates are suggested as Date types with ISO8601 or common formats. You can adjust date_format options to influence decoding expectations and CodingKeys.

What about large or complex payloads?

For very large or deeply nested payloads, the tool may apply depth/size limits and provide partial scaffolds with detailed error paths to guide refinement and testing.

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