DevToolBoxGRATIS
Blog

JSON in TypeScript: Guida completa con esempi

12 min di letturadi DevToolBox

Converting JSON to TypeScript interfaces is one of the most common tasks in modern web development. Whether you're consuming REST APIs, working with configuration files, or defining data models, having proper TypeScript types ensures type safety and better developer experience.

Convert JSON to TypeScript instantly with our free tool →

Why Convert JSON to TypeScript?

TypeScript's type system catches errors at compile time that would otherwise surface at runtime. When you receive JSON from an API, TypeScript has no idea what shape that data takes — unless you define interfaces. Without types, you lose autocompletion, refactoring support, and compile-time error checking.

  • Autocompletion — your editor suggests valid property names
  • Compile-time errors — catch typos and missing fields before deployment
  • Self-documenting code — interfaces describe your data shape
  • Refactoring safety — rename a field and TypeScript finds every usage

Basic Conversion Rules

The fundamental mappings from JSON types to TypeScript types are straightforward:

JSON TypeTypeScript TypeExample
stringstring"hello"
number (int)number42
number (float)number3.14
booleanbooleantrue
nullnullnull
arrayT[][1, 2, 3]
objectinterface{"key": "val"}
// JSON
{
  "name": "Alice",
  "age": 30,
  "active": true
}

// TypeScript
interface User {
  name: string;
  age: number;
  active: boolean;
}

Handling Nested Objects

Real-world JSON is rarely flat. When objects contain other objects, you should create separate interfaces for each level:

// JSON
{
  "id": 1,
  "name": "Alice",
  "address": {
    "street": "123 Main St",
    "city": "Springfield",
    "coordinates": {
      "lat": 39.7817,
      "lng": -89.6501
    }
  }
}

// TypeScript
interface Coordinates {
  lat: number;
  lng: number;
}

interface Address {
  street: string;
  city: string;
  coordinates: Coordinates;
}

interface User {
  id: number;
  name: string;
  address: Address;
}

Tip: Use separate interfaces rather than deeply nested inline types. It makes your code more readable and reusable.

Array Types

Arrays in JSON can contain uniform or mixed types. TypeScript handles both cases:

// Uniform array
{ "tags": ["typescript", "react", "next"] }
// -> tags: string[]

// Array of objects
{
  "users": [
    { "id": 1, "name": "Alice" },
    { "id": 2, "name": "Bob" }
  ]
}
// -> users: User[]

// Mixed array (rare but possible)
{ "data": [1, "two", true] }
// -> data: (number | string | boolean)[]

When an array contains objects of the same shape, define a dedicated interface. For heterogeneous arrays, use union types.

Null and Optional Fields

JSON APIs often return null for missing values, or omit fields entirely. TypeScript distinguishes between these two cases:

// JSON with null values
{
  "id": 1,
  "name": "Alice",
  "avatar": null,
  "bio": null
}

// TypeScript — nullable vs optional
interface User {
  id: number;
  name: string;
  avatar: string | null;    // field exists, value can be null
  bio?: string;              // field might not exist at all
  nickname?: string | null;  // might not exist OR might be null
}

Key difference: null means the field exists but has no value. undefined (optional with ?) means the field might not be present at all. Use | null for nullable fields and ? for optional fields.

Best Practices

  • Use interface over type for object shapes — interfaces are extendable and produce better error messages
  • Prefer readonly for data from APIs that you don't intend to mutate
  • Use unknown instead of any for truly dynamic fields — it forces you to validate before use
  • Name interfaces clearly — use User, not IUser or UserInterface
  • Export shared interfaces in a central types/ directory for reuse across your project
  • Validate at runtime — TypeScript types disappear at runtime, so use libraries like Zod or io-ts for API boundary validation
// Good: runtime validation with Zod
import { z } from 'zod';

const UserSchema = z.object({
  id: z.number(),
  name: z.string(),
  email: z.string().email(),
  avatar: z.string().nullable(),
});

type User = z.infer<typeof UserSchema>;

// Validate API response
const user = UserSchema.parse(await res.json());

Automate the Conversion

Manually writing interfaces for large JSON payloads is tedious and error-prone. Use our JSON to TypeScript converter to instantly generate accurate interfaces from any JSON input. Paste your JSON, get TypeScript — it's that simple.

Try the JSON to TypeScript converter now →

𝕏 Twitterin LinkedIn
È stato utile?

Resta aggiornato

Ricevi consigli dev e nuovi strumenti ogni settimana.

Niente spam. Cancella quando vuoi.

Prova questi strumenti correlati

TSJSON to TypeScript{ }JSON FormatterGoJSON to Go StructZDJSON to Zod Schema

Articoli correlati

JSON in Go Struct: Strategie di mapping e best practice

Padroneggia la conversione da JSON a struct Go. Tag struct, tipi annidati, omitempty, marshaling personalizzato e pattern reali.

TypeScript vs JavaScript: Quando e come convertire

Guida pratica su quando convertire TypeScript in JavaScript e viceversa. Strategie di migrazione, strumenti, impatto sulla dimensione del bundle e considerazioni di team.

Validazione JSON Schema: Tipi, strumenti e best practice

Tutto sulla validazione JSON Schema: dai tipi base ai pattern avanzati, librerie di validazione e integrazione con TypeScript e API.

Convertitore JSON in Classe Java: Guida POJO, Jackson, Gson e Lombok

Converti JSON in classe Java online. Genera POJO con Jackson, Gson e Lombok con esempi di codice e best practice.

JSON a Zod Schema: Validazione Runtime Type-Safe in TypeScript

Scopri come convertire JSON in schemi Zod per la validazione runtime type-safe in TypeScript.