JSON to Zod Converter v2
Paste real JSON and get four synchronized outputs at once: TypeScript types, a Zod schema, a Pydantic model, and JSON Schema. Everything runs entirely in your browser memory with zero tracking and zero server storage.
1. Input JSON Client-Side Only
2. Generated Schema Ready
// Your generated code will appear here.
// Paste JSON on the left or click a sample to start.Visual Architecture & Type Mapping
Three technical infographics explaining how the client-side inference pipeline maps unstructured values into strict type definitions.
How it works in 3 steps, with a worked example
From raw JSON payload to inferred validation schemas. Reads every array element so missing properties become optional without discarding real data.
Format detection cheat sheet, every value mapped to its Zod output
High-precision regex heuristics map ISO timestamps, dates, times, emails, strict UUIDs, GUIDs, URLs, and IP addresses to exact Zod v4 and Pydantic types.
One sample, four outputs, same user object in TypeScript, Zod, Pydantic and JSON Schema
Keep your compile-time types, runtime frontend validators, Python backend models, and API specifications strictly synchronized from one single inference tree.
Why This Converter Is Different
Most JSON tools emit a single target and inspect only the first element of an array. If subsequent objects contain optional fields or alternative variants, traditional converters fail or produce fragile schemas. PromptStaging reads every item in every array: fields missing in some elements become optional, polymorphic objects keyed by tag split into discriminated unions, and same-shape nested objects are automatically deduplicated into clean reusable interfaces.
Because everything executes 100% in local browser memory via native JavaScript and the Blob API, sensitive database exports and internal payloads never touch any third-party server.
Explore Related AI Architecture & FinOps Tools
Frequently Asked Questions
No. All inference runs in this page, in your browser memory. Close the tab and the input is gone.
Zod v4 style: z.object or z.strictObject, top-level format functions like z.email(), z.uuid(), z.guid(), z.url(), z.ipv4(), z.ipv6(), z.int(), and z.iso helpers, chained with .nullable() and .optional(), and z.infer for the matching TypeScript type.
Pydantic v2, using BaseModel classes, list[...] generics, ConfigDict for field aliases, and the str | None style for optional fields. It needs Python 3.10 or later.
Because another item in the same array does not have it. That is real API behavior, and marking it optional stops your validator from rejecting valid responses.
Enum inference is off by default because a sample cannot prove a value list is closed. When you enable the Infer string unions as enums option, string fields with 2 to 10 distinct values across at least 3 occurrences are emitted as enums.
A discriminated union is a union of object types that share a common tag field with distinct literal values. The converter emits one when array items share a discriminator key with distinct shapes for each tag value, such as page_view and purchase events.
Yes. Use the Test it tab to paste a second JSON payload. The built-in client engine tests your payload against the inferred type tree and reports passing status or exact property mismatch paths without needing external libraries.