Which TypeScript types are supported?

The converter supports interfaces, type aliases, enums, unions, intersections, tuples, arrays, optional properties, utility types (Partial, Required, Pick, Omit, Record), and nested object types.

Is my TypeScript code sent to a server?

No. All AST parsing and Zod schema generation happens 100% client-side in your browser. Your code never leaves your device.

Can I use this for runtime validation?

Yes. Zod schemas validate data at runtime, bridging the gap between TypeScript's compile-time types and actual runtime safety. The generated schemas work out-of-the-box with tRPC, Next.js Server Actions, and API route handlers.

TypeScript → Zod Converter

Transform static types into runtime validation. Paste your TypeScript interfaces and instantly generate production-ready Zod schemas with full type inference support.

TypeScript Input

0.6KB

Zod Schema Output

import { z } from "zod";

// Generated from TypeScript definitions
// Total types converted: 4

export const UserSchema = z.object({
  id: z.string(),
  email: z.string(),
  name: z.string().optional(),
  age: z.number().optional(),
  isActive: z.boolean(),
  role: z.enum(["ADMIN", "USER", "GUEST"]),
  tags: z.array(z.string()),
  metadata: z.record(z.any()),
  address: z.object({ street: z.string(), city: z.string(), zip: z.string().optional() }),
});
export type User = z.infer<typeof UserSchema>;

export const StatusSchema = z.enum(["ACTIVE", "INACTIVE", "PENDING"]);
export type Status = z.infer<typeof StatusSchema>;

export const ProductSchema = z.object({
  productId: z.string(),
  price: z.number(),
  inStock: z.boolean(),
  description: z.string().optional(),
  categories: z.array(z.string()),
});
export type Product = z.infer<typeof ProductSchema>;

export const PostSchema = z.object({
  id: z.number(),
  title: z.string(),
  content: z.string(),
  author: UserSchema,
  publishedAt: z.date().nullable(),
});
export type Post = z.infer<typeof PostSchema>;

// ✅ Successfully converted 4 types

Why Convert TypeScript to Zod?

The Runtime Gap in TypeScript

TypeScript provides excellent compile-time safety and developer experience, but types are completely erased at runtime. When your application receives data from form submissions, external APIs, databases, or user uploads, TypeScript interfaces cannot protect you from malformed data causing runtime crashes or security vulnerabilities.

Runtime Boundaries with Zod

By converting your interface and type definitions into Zod schemas, you create a runtime validation boundary. Parse incoming data, strip unknown fields, coerce types, and throw actionable validation errors—all before bad data touches your core application logic.

Common Use Cases

Validate form submissions in React/Next.js with react-hook-form
Parse environment variables with type safety at startup
Validate API responses from third-party services
Protect tRPC endpoints with runtime input validation
Generate mock data with Zod faker integration
Build configuration parsers with .parse() and .safeParse()
Validate database query results before business logic
Create type-safe webhooks and event handlers
Enforce data contracts in microservices architectures

How It Works

This tool performs lightweight AST-style parsing of your TypeScript code to extract interface and type declarations. It recursively traverses property definitions, maps TypeScript primitives to Zod equivalents, and intelligently handles:

Optional properties (?) → .optional()
Union types (string | number) → z.union([…])
Literal types ("ADMIN" | "USER") → z.enum([…])
Array types (string[]) → z.array(z.string())
Nested objects → Recursive z.object({…}) construction

All processing happens locally in your browser—no code is uploaded to any server, ensuring your proprietary type definitions remain completely private.