JSON to Types Converter

• .tsJSON to TypeScriptConvert JSON to TypeScript interfaces or types.→
• .tsJSON to ZodConvert JSON to Zod schemas with inferred TypeScript types.→
• .pyJSON to PydanticConvert JSON to Pydantic v2 models.→
• .goJSON to Go structConvert JSON to Go structs with json tags, omitempty for optional fields, pointers for nullable ones and Go initialisms like ID and URL.→
• .rsJSON to Rust (serde)Convert JSON to Rust structs with serde derives, Option for nullable and optional fields, snake_case names and rename attributes.→
• .jsonJSON to JSON SchemaGenerate JSON Schema (draft 2020-12) from a JSON sample: required keys, nullable types, formats and $defs for nested objects.→
• .prismaJSON to PrismaConvert JSON to Prisma models: scalar mapping, @id detection, @map for awkward keys and Json fields for nested data.→
• .graphqlJSON to GraphQLConvert JSON to GraphQL type definitions with non-null markers, ID detection and DateTime and JSON scalars.→

Most converters look at the first object and stop. This one walks the whole document and merges every sample it finds, which is what makes the output safe to trust:

String formats are detected too: ISO timestamps, dates, emails, UUIDs and URLs become the richest type the target supports, like datetime in Pydantic or .email() in Zod.

A user record with a nested team, a list of invoices (one missing a note, one with a null payment date) and an awkward display-name key:

{
  "id": 1042,
  "email": "ada@example.com",
  "display-name": "Ada",
  "createdAt": "2026-11-07T09:30:00Z",
  "plan": null,
  "tags": ["beta", "founder"],
  "team": {
    "id": "7f3c9a2e-1b4d-4c8e-9f2a-6d5e4c3b2a19",
    "name": "Analytical Engines",
    "website": "https://example.com"
  },
  "invoices": [
    { "number": "INV-001", "amount": 49.5, "paid": true, "paidAt": "2026-10-01T00:00:00Z" },
    { "number": "INV-002", "amount": 49, "paid": false, "paidAt": null, "note": "Card declined" }
  ]
}

Becomes this TypeScript, generated by the same engine that runs the converter above (3 types, 16 fields):

export interface Root {
  id: number;
  email: string; // email
  "display-name": string;
  createdAt: string; // date-time
  plan: null;
  tags: string[];
  team: Team;
  invoices: Invoice[];
}

export interface Invoice {
  number: string;
  amount: number;
  paid: boolean;
  paidAt: string | null; // date-time
  note?: string;
}

export interface Team {
  id: string; // uuid
  name: string;
  website: string; // url
}

• JSON to TypeScript →
• JSON to Zod →
• JSON to Pydantic →
• JSON to Go struct →
• JSON to Rust (serde) →
• JSON to JSON Schema →
• JSON to Prisma →
• JSON to GraphQL →