Generate Zod validation schemas and TypeScript types.
Paste raw JSON or API payloads to generate battle-tested Zod v3 schemas with nested models, inferred types, format detection, and instant file downloads.
import { z } from "zod"; export const PreferencesSchema = z.object({ theme: z.string(), notifications: z.boolean(), maxRetries: z.number().int(), }); export type Preferences = z.infer<typeof PreferencesSchema>; export const UserSchema = z.object({ id: z.string().uuid(), name: z.string(), email: z.string().email(), website: z.string().url(), age: z.number().int(), isActive: z.boolean(), createdAt: z.string().datetime(), roles: z.array(z.string()), preferences: PreferencesSchema, metadata: z.null(), }); export type User = z.infer<typeof UserSchema>;
JSONGlow's JSON to Zod converter is a free online tool that instantly turns JSON payloads into production-ready Zod v3 and v4 validation schemas and inferred TypeScript types directly in your browser.
Runtime & Compile-Time Safety
From raw JSON to production-ready Zod validation.
TypeScript provides compile-time static type checking, but compile-time types completely disappear at runtime. When external API responses, webhook payloads, or user form inputs arrive at your server or frontend, static types cannot guarantee that the runtime payload matches your expected structure.
Zod is the industry-standard TypeScript-first schema declaration and validation library. By defining a Zod schema, you obtain both runtime validation (`schema.parse()`) and static type inference (`z.infer<typeof schema>`) from a single source of truth.
JSONGlow's JSON to Zod converter transforms raw JSON examples, API documentation fixtures, and database responses into clean, production-grade Zod code. It automatically recognizes specialized string formats like UUIDs, RFC 3339 / ISO 8601 datetimes, and email addresses, applying corresponding validators.
Every nested sub-object is extracted into its own reusable, exported schema, preventing monolithic nested code blocks. You can customize the root schema name, toggle strict mode, and download the output as a `.ts` file in one click.
Workflow Guide
How to generate Zod schemas from JSON in 3 steps
Input sample JSON data
Paste your API response, database record, or mock JSON payload into the input editor on the left.
Tune validation options
Set your root schema name (e.g. 'UserSchema'), toggle Zod v3/v4 syntax, toggle .strict() mode, and enable format detection.
Integrate with TypeScript
Click 'Download .ts' to immediately save a ready-to-import TypeScript schema file, or click 'Copy Schema' to paste directly into your project.
Practical Demonstration
JSON to Zod Schema Generation Example
See how a raw JSON API response is automatically converted into modular Zod object schemas with inferred types.
{
"id": "a3bb189e-8bf9-3888-9912-ace4e6543002",
"name": "Jordan Hayes",
"email": "jordan.hayes@example.com",
"age": 29,
"created_at": "2026-03-20T10:15:30Z",
"is_admin": true,
"preferences": {
"theme": "dark",
"notifications": true,
"max_retries": 3
},
"roles": ["admin", "editor"]
}import { z } from "zod";
export const PreferencesSchema = z.object({
theme: z.string(),
notifications: z.boolean(),
max_retries: z.number().int(),
});
export type Preferences = z.infer<typeof PreferencesSchema>;
export const UserSchema = z.object({
id: z.string().uuid(),
name: z.string(),
email: z.string().email(),
age: z.number().int(),
created_at: z.string().datetime(),
is_admin: z.boolean(),
preferences: PreferencesSchema,
roles: z.array(z.string()),
});
export type User = z.infer<typeof UserSchema>;Edge Cases & Common Pitfalls
Common schema validation challenges
Mismatched primitive types in array items
Why it happens: Arrays containing heterogeneous items (e.g. `[10, "unknown", 20]`) can cause rigid scalar schemas to fail validation.
Unexpected extra fields causing runtime failure
Why it happens: By default, Zod objects strip unrecognized keys. If strict validation is needed to disallow unauthorized properties, `.strict()` is required.
Date strings parsed as plain strings without format validation
Why it happens: Standard JSON parsers treat ISO date strings as generic strings, leaving date validation unhandled.
Key Capabilities
Tailored for modern TypeScript ecosystems
Zod v3 Standard Syntax
Generates modern, standard Zod syntax compatible with Next.js, tRPC, Remix, Express, and Fastify.
Automated Type Inference
Exports corresponding TypeScript type aliases with `z.infer<typeof ...>` for immediate IDE typing.
Format Detection
Automatically identifies and validates UUIDs, emails, URLs, and ISO datetime strings.
Strict Mode Toggle
Optionally appends `.strict()` to reject unauthorized properties in API payloads.
One-Click .ts Download
Download the complete TypeScript file ready to import directly into your codebase.
100% In-Browser Privacy
No server uploads. Safe for proprietary tokens, customer records, and internal schemas.
Frequently Asked Questions
Common questions answered.
Need more help? Our tools execute entirely in your browser without transmitting any payload to remote servers.
How does the JSON to Zod converter infer validation types?+
The converter recursively inspects each property value in your JSON payload. Numbers, booleans, strings, arrays, and nullables are mapped to their respective Zod primitives (`z.number()`, `z.boolean()`, `z.string()`, `z.array()`). Formatted strings like UUIDs, emails, and ISO 8601 datetimes are automatically assigned format-specific validators.
How does JSON to Zod handle nested objects and arrays?+
Nested objects are extracted into their own independently exported Zod schemas using PascalCase naming conventions (e.g. `AddressSchema`, `PreferencesSchema`). Array items are scanned across all elements to produce precise array schemas or union types.
What is strict mode in Zod schemas?+
When strict mode is enabled, `.strict()` is appended to every generated `z.object()`. This causes Zod to throw validation errors if input payloads contain unknown or unauthorized keys, preventing payload pollution in secure backend APIs.
How do I use the generated schemas in my TypeScript project?+
Click 'Download .ts' to save the generated file into your repository's schemas directory. You can then import the schema (e.g., `import { UserSchema, type User } from './user.schema'`) and validate incoming requests with `UserSchema.parse(data)` or `UserSchema.safeParse(data)`.
Is my JSON payload uploaded to any server for schema generation?+
No. All AST parsing, schema generation, and file exports execute 100% locally in your browser sandbox using client-side JavaScript. No data is sent to external servers.
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