TypeScript to Zod Schema Converter
Convert TypeScript interfaces and types to Zod validation schemas — nested objects, arrays, unions, optionals
You have TypeScript interfaces defining your data models, and now you need runtime validation with Zod. Manually rewriting every interface as a Zod schema means duplicating each property with z.string(), z.number(), z.optional(), and z.array() — tedious and error-prone when the interface has 20+ fields with nested objects.
What Is Zod?
Zod is a TypeScript-first schema validation library. Unlike TypeScript types that only exist at compile time, Zod schemas validate data at runtime — parsing API responses, form inputs, environment variables, and any data crossing a trust boundary. Zod schemas can also infer TypeScript types via z.infer<typeof schema>, keeping your types and validation in sync.
How This Converter Works
Paste a TypeScript interface, type alias, or a set of types, and the tool generates the equivalent Zod schema code:
- Primitive types:
string→z.string(),number→z.number(),boolean→z.boolean() - Optional fields:
name?: string→name: z.string().optional() - Arrays:
string[]orArray<string>→z.array(z.string()) - Nested objects: Inline object types and referenced interfaces become nested
z.object()calls - Union types:
string | number→z.union([z.string(), z.number()]) - Literal types:
"active" | "inactive"→z.enum(["active", "inactive"]) - Nullable:
string | null→z.string().nullable()
Common Use Cases
API route validation — Define your request body as a TypeScript interface, then generate a Zod schema to validate incoming requests in Next.js API routes, Express middleware, or tRPC procedures.
Form validation — React Hook Form and Formik both support Zod schemas as validation resolvers. Convert your form data interface to a Zod schema for consistent client-side validation.
Environment variable parsing — Convert your env config interface to a Zod schema, then use z.parse(process.env) to validate and type-narrow environment variables at startup.
Config file validation — Validate JSON or YAML configuration files against Zod schemas generated from your TypeScript config types.
Working with the Output
The generated schema is a starting point. After copying, you may want to:
- Add refinements:
.min(),.max(),.email(),.url(),.regex()for string constraints - Add transforms:
.transform()to coerce or normalize values during parsing - Add defaults:
.default()for fields with default values - Replace broad types: Swap
z.string()withz.enum()for fields with known values
Frequently Asked Questions
Q: Does this handle generic types like Promise<T> or Record<K, V>?
A: The converter handles common generics like Array<T>, Record<string, T>, and Partial<T>. Complex generics like custom generic interfaces require manual adjustment after conversion.
Q: What TypeScript features are not supported?
A: Mapped types, conditional types, template literal types, and keyof expressions cannot be directly converted to Zod because they require type-level computation. The tool converts concrete types and interfaces.
Q: Can I convert multiple interfaces at once? A: Yes. Paste multiple interfaces or type aliases and the tool generates a separate Zod schema for each one, preserving references between them.
Q: Is my code sent to a server? A: No. All parsing and conversion happens entirely in your browser. Your TypeScript code never leaves your device.
Q: Why Zod instead of Yup or Joi?
A: Zod is designed for TypeScript-first workflows with full type inference via z.infer. Unlike Yup and Joi, Zod schemas are the single source of truth for both runtime validation and compile-time types, eliminating type drift.