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Receive a Zod import and exported schema constant ready for a TypeScript project.
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Convert representative JSON into a Zod schema with nested objects, arrays, primitive types, null values, and optional strict object handling.
JSON to Zod Schema turns a sample JSON value into TypeScript code using Zod. Objects become z.object() or z.strictObject(), arrays become z.array(), and primitive JSON values become the corresponding Zod schemas.
The generated schema is a starting point based only on observed values. It cannot infer whether a property may be omitted, whether a string is an email or date, whether a number has a range, or whether an array contains more than one valid shape. Empty objects remain object schemas; empty arrays use z.unknown() for their item type until you replace it.
UserSchema.z.object() strips unrecognized keys; strict objects reject them.Focused controls, predictable output, and a workflow designed around this exact transformation.
Receive a Zod import and exported schema constant ready for a TypeScript project.
Generate recursive objects and array item schemas from the sample structure.
Choose standard object stripping or strict rejection for every generated object.
JSON property names are emitted as quoted keys, including spaces and punctuation.
Practical details about input, output, privacy, limits, and the best way to use this tool.
It generates current core APIs such as z.object, z.strictObject, z.array, and primitive schemas. Verify the code with the installed Zod version in your project.
Yes. Zod object properties are required by default. Add .optional() only where the real contract allows omission.
Standard z.object() strips unrecognized keys during parsing. z.strictObject() rejects unrecognized keys.
An observed null becomes z.null(). Replace it with a nullable union such as z.string().nullable() when both a real value and null are allowed.
An empty array provides no item evidence, so the generator emits z.array(z.unknown()). Replace unknown with the intended item schema.
No. JSON stores those values as strings. Add the appropriate Zod format rule only when the API contract confirms it.
No. Missing variants, heterogeneous arrays, discriminated unions, defaults, and transformations require manual schema design.
No. It generates code only. Install Zod, compile the TypeScript, and test valid and invalid payloads in your project.
Learn JSON objects, arrays, value types, validation, formatting, parsing, API workflows, and common syntax errors.
Nested objects are represented recursively and all observed keys are required by default.
Name: UserSchema
Strict: off
JSON: {"id":42,"name":"Ada","active":true,"profile":{"city":"Kyiv"}}
import { z } from "zod";\n\nexport const UserSchema = z.object({\n "id": z.number(),\n "name": z.string(),\n "active": z.boolean(),\n "profile": z.object({\n "city": z.string()\n })\n});
Strict mode uses z.strictObject at every generated object level.
Name: ProductSchema
Strict: on
JSON: {"sku":"A-10","price":19.95}
export const ProductSchema = z.strictObject({\n "sku": z.string(),\n "price": z.number()\n});
A non-empty array uses its first item as the initial item schema.
Name: OrderListSchema
JSON: [{"id":101,"paid":true}]
export const OrderListSchema = z.array(z.object({\n "id": z.number(),\n "paid": z.boolean()\n}));
The generator no longer treats an empty JSON object as an empty array.
Name: ConfigSchema
JSON: {"settings":{},"items":[]}
settings → z.object({})\nitems → z.array(z.unknown())
Strings, booleans, numbers, and null map to z.string(), z.boolean(), z.number(), and z.null(). JSON has one numeric data type, so an integer sample does not prove that decimals are forbidden. Add integer and range constraints from documentation, not appearance.
Objects are processed recursively. JSON keys are quoted in the generated TypeScript, so names such as user-id remain valid properties without being renamed.
All observed object properties are required because Zod object properties are required by default. A sample cannot demonstrate a field that was omitted. Add .optional() deliberately and distinguish omission from an explicit null value.
Standard Zod objects strip unknown keys from parsed output. Enable strict objects when extra input must cause an error. Neither choice can be inferred safely from one sample.
The first array item provides the generated item schema. A later item with another type or object shape is invisible to this inference rule. Empty arrays use unknown items. Review arrays for unions, tuples, minimum lengths, and heterogeneous records.
A null sample produces only z.null(); it does not reveal the intended non-null type. Use nullable or nullish helpers according to whether the field may be null, omitted, or both.
The generator does not infer optional fields, literal values, enums, discriminators, formats, branded types, defaults, coercion, preprocessing, transforms, refinements, recursive schemas, descriptions, or custom error messages. Generated code is not executed by Trexmi.
Compare the shape with JSON to TypeScript, validate contract rules with JSON Schema Validator, or generate Python models with JSON to Pydantic Model. For function arguments, use JSON to OpenAI Function Schema.
Review the current Zod API documentation and TypeScript type documentation.