Looking for the exact opposite? Check out json-schema-to-zod
Does what it says on the tin; converts Zod schemas into JSON schemas!
- Supports all relevant schema types, basic string, number and array length validations and string patterns.
- Resolves recursive and recurring schemas with internal
$ref
s. - Also able to target Open API 3 (Swagger) specification for paths.
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
const mySchema = z
.object({
myString: z.string().min(5),
myUnion: z.union([z.number(), z.boolean()]),
})
.describe("My neat object schema");
const jsonSchema = zodToJsonSchema(mySchema, "mySchema");
{
"$schema": "http://json-schema.org/draft-07/schema#",
"$ref": "#/definitions/mySchema",
"definitions": {
"mySchema": {
"description": "My neat object schema",
"type": "object",
"properties": {
"myString": {
"type": "string",
"minLength": 5
},
"myUnion": {
"type": ["number", "boolean"]
}
},
"additionalProperties": false,
"required": ["myString", "myUnion"]
}
}
}
You can pass a string as the second parameter of the main zodToJsonSchema function. If you do, your schema will end up inside a definitions object property on the root and referenced from there. Alternatively, you can pass the name as the name
property of the options object (see below).
Instead of the schema name (or nothing), you can pass an options object as the second parameter. The following options are available:
Option | Effect |
---|---|
name?: string | As described above. |
basePath?: string[] | The base path of the root reference builder. Defaults to ["#"]. |
$refStrategy?: "root" | "relative" | "none" | The reference builder strategy;
|
effectStrategy?: "input" | "any" | The effects output strategy. Defaults to "input". See known issues! |
definitionPath?: "definitions" | "$defs" | The name of the definitions property when name is passed. Defaults to "definitions". |
target?: "jsonSchema7" | "jsonSchema2019-09" | "openApi3" | Which spec to target. Defaults to "jsonSchema7" |
strictUnions?: boolean | Scrubs unions of any-like json schemas, like {} or true . Multiple zod types may result in these out of necessity, such as z.instanceof() |
definitions?: Record<string, ZodSchema> | See separate section below |
errorMessages?: boolean | Include custom error messages created via chained function checks for supported zod types. See section below |
The definitions option lets you manually add recurring schemas into definitions for cleaner outputs. It's fully compatible with named schemas, changed definitions path and base path. Here's a simple example:
const myRecurringSchema = z.string();
const myObjectSchema = z.object({ a: myRecurringSchema, b: myRecurringSchema });
const myJsonSchema = zodToJsonSchema(myObjectSchema, {
definitions: { myRecurringSchema },
});
{
"type": "object",
"properties": {
"a": {
"$ref": "#/definitions/myRecurringSchema"
},
"b": {
"$ref": "#/definitions/myRecurringSchema"
}
},
"definitions": {
"myRecurringSchema": {
"type": "string"
}
}
}
This feature allows optionally including error messages created via chained function calls for supported zod types:
// string schema with additional chained function call checks
const EmailSchema = z.string().email("Invalid email").min(5, "Too short");
const jsonSchema = zodToJsonSchema(EmailSchema, { errorMessages: true });
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "string",
"format": "email",
"minLength": 5,
"errorMessage": {
"format": "Invalid email",
"minLength": "Too short"
}
}
This allows for field specific, validation step specific error messages which can be useful for building forms and such. This format is accepted by react-hook-form
's ajv resolver (and therefor ajv-errors
which it uses under the hood). Note that if using AJV with this format will require enabling ajv-errors
as vanilla AJV does not accept this format by default.
- ZodString
- regex
- min, max
- email, cuid, uuid, url
- endsWith, startsWith
- ZodNumber
- min, max, lt, lte, gt, gte,
- int
- multipleOf
- ZodSet
- min, max
- ZodArray
- min, max
- When using
.transform
, the return type is inferred from the supplied function. In other words, there is no schema for the return type, and there is no way to convert it in runtime. Currently the JSON schema will therefore reflect the input side of the Zod schema and not necessarily the output (the latter aka.z.infer
). If this causes problems with your schema, consider using the effectStrategy "any", which will allow any type of output. - JSON Schemas does not support any other key type than strings for objects. When using
z.record
with any other key type, this will be ignored. An exception to this rule isz.enum
as is supported since 3.11.3 - Relative JSON pointers, while published alongside JSON schema draft 2020-12, is not technically a part of it. Currently, most resolvers do not handle them at all.
- Since v3, the Object parser uses
.isOptional()
to check if a property should be included inrequired
or not. This has the potentially dangerous behavior of calling.safeParse
withundefined
. To work around this, make sure yourpreprocess
and other effects callbacks are pure and not liable to throw errors. An issue has been logged in the Zod repo and can be tracked here.
This package does not follow semantic versioning. The major and minor versions of this package instead reflects feature parity with the Zod package.
I will do my best to keep API-breaking changes to an absolute minimum, but new features may appear as "patches", such as introducing the options pattern in 3.9.1.
https://github.com/StefanTerdell/zod-to-json-schema/blob/master/changelog.md