zod

Validate API payloads in TypeScript by defining Zod schemas that enforce data shapes at the boundary and automatically derive types. This ensures consistent data contracts across frontend and backend layers while reducing type drift.

Runtime data validation with safeParse returns a result object containing success status and error details without throwing, whereas parse throws an error immediately when validation fails. Both handle parsing deterministic rules for primitive, union, and object structures.

Handle complex object validation using discriminated unions and refinements to apply deterministic rules for nested structures. This approach supports advanced features like preprocess transformations and ensures strict runtime validation for external responses.

Zod schema validation works for form inputs, database records, API payloads, and external responses. It enforces consistent data shapes at the boundary with deterministic parsing rules and type inference across application layers.

Optimize TypeScript schema validation performance by using partial, pick/omit, caching, and schema composition. These techniques enable scalable validation structures while maintaining strict type inference and consistent data contracts.

Use branded types with TypeScript type inference to ensure consistent types across application layers. Zod schemas validate external data and derive branded types, enforcing stricter data contracts and reducing data errors between frontend and backend.