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Turn sample JSON into reliable TypeScript models, Zod schemas, or JSON Schema. The inference engine handles nested objects, arrays, unions, optional properties, and null values entirely in your browser.
Convert sample JSON into clean, reusable TypeScript models. The tool inspects nested objects and arrays to detect unions, optional properties, and null values without sending your data to a server.
Your data stays on your device and is never sent to our servers.
Generate, convert, or validate technical data with purpose-built controls.
Technical formats and syntaxes suited to each generator, converter, or validator.
Get a clean, ready-to-use result in seconds without installing software or configuring a complex workflow.
Fonctionnement
The tool first parses the JSON locally in your browser, then recursively inspects every object, array, and primitive value. It merges compatible structures, identifies properties that are missing from some array items, infers the required unions, and preserves nullable values. From this shared intermediate model, it generates consistent TypeScript interfaces, type aliases, a Zod schema, or JSON Schema without network requests or server-side processing.
Create the TypeScript interfaces required by an API client from a real and representative response payload.
Generate a Zod schema to validate incoming data before your application stores, displays, or transforms it.
Produce JSON Schema that clearly documents a shared data contract across teams, services, and environments.
Guide
Use an object or array that contains the different shapes your API may return.
Generate interfaces, type aliases, a Zod schema, or JSON Schema for your project.
Review the inferred types, then copy or export the generated code.
No. Parsing, type inference, and code generation run entirely inside your browser. Your JSON content is never transmitted to or stored on a remote server.
When an array contains multiple objects, a property missing from some items is marked optional so the generated model reflects every observed shape accurately.
TypeScript checks code at compile time, while Zod validates the real data received at runtime and can immediately report an invalid or unexpected structure.
Learn how tabular data is structured, how CSV, Excel, JSON and TSV differ, and how to choose the right format before cleaning, converting or automating a workflow.
Understand delimiters, encodings, types, nested JSON and spreadsheet features before converting data between CSV, Excel, JSON and TSV.
Understand ISO 8601 week numbers, Unix timestamps in seconds or milliseconds, and the difference between human-readable dates and technical time values.
Understand structured data, choose relevant Schema.org types and generate JSON-LD that matches visible page content.
Recommended workflow
Discover tools that naturally fit before, after, or alongside this one.
Format, minify, and validate JSON to make it easier to read or more compact.
Validate a JSON document against a schema and locate every error precisely.
Generate a JSON Schema from a JSON example locally in your browser.