JSON to JSON Schema.

Pandia infers a JSON Schema (draft 2020-12) from a sample document. It walks the data, assigns a type to every field, lists non-null keys under required, and detects string formats like date, date-time, email and uri — a schema you can validate against straight away.

Example

Input JSON:

{
  "id": 42,
  "name": "Ada",
  "active": true,
  "tags": ["admin", "early"]
}

JSON Schema output:

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://example.com/root.schema.json",
  "title": "Root",
  "type": "object",
  "properties": {
    "id": { "type": "integer" },
    "name": { "type": "string" },
    "active": { "type": "boolean" },
    "tags": { "type": "array", "items": { "type": "string" } }
  },
  "required": ["id", "name", "active", "tags"]
}

What you get

• Draft 2020-12 schema with $schema, $id and title.
• Every property typed; non-null keys collected into required.
• String formats (date, date-time, email, uri) auto-detected.
• Nested objects and arrays produce nested schemas.

It’s the same engine behind Pandia’s type generation — opinionated, deterministic, and built to run on files far too large for an online converter.

Frequently asked questions

How do I generate a JSON Schema from JSON?

Open the Types panel in Pandia, choose JSON Schema, and copy the inferred draft 2020-12 schema.

Which draft does it target?

Draft 2020-12. The output includes the $schema keyword so validators know which dialect to use.

Does it run locally, and is there a size limit?

Schema inference runs on your machine with nothing uploaded. Because it materializes the whole document, it targets files up to Pandia’s ~200 MB whole-document ceiling — larger files still open and browse without limit.

More converters: JSON to TypeScript · JSON to Go · JSON to Rust · JSON to Python · JSON to Zod · all tools · download.