backend-zod

You can validate runtime data and infer TypeScript types simultaneously by declaring a schema that validates data at runtime and automatically infers the corresponding TS types. This unifies validation and type checking to eliminate type drift.

The best way to validate API inputs and environment variables in TypeScript is using a runtime validator that declares schemas once. This approach covers API routes, form data, and config files while automatically inferring TypeScript types.

Yes, runtime validation with Zod works seamlessly with tRPC for API inputs and React Hook Form for form data. It integrates directly into these libraries to validate payloads while inferring TypeScript types.

To define a schema for validating user payloads and config data, import the schema builder, create an object schema, and assign string validators with constraints like email or uuid to each property. This yields runtime validation and inferred types.

Yes, you can prevent type drift across TypeScript projects by using a schema-first validation approach. Declaring schemas once provides both runtime data validation and automatic TypeScript type inference for API inputs and config data.

You should use a schema validator instead of plain TypeScript types because standard types are stripped at runtime. A schema validator checks data at runtime for API inputs and form data while simultaneously inferring the static TypeScript types.