Visual JSON Schema Builder

Build a JSON Schema from scratch — add properties, pick types, set constraints. No sample JSON needed.

Schema title
Schema description

Sometimes you're not validating data you already have — you're designing a contract before any data exists. This builder skips the sample-JSON step entirely: add a property, pick its type from a dropdown, set constraints, and the JSON Schema on the right updates live. Nest objects and arrays as deep as you need.

  • No sample JSON required — build the shape you want directly
  • Every core type with its relevant constraints exposed as fields
  • Nested objects and arrays, arbitrarily deep
  • required, description, enum, pattern, format — all visual
  • Draft 2020-12 output, ready to paste into your validator or API docs

Builder vs. Generator — Two Different Starting Points

JSON Schema Generatorworks backwards from data you already have — paste a JSON sample and it infers a schema from what's there. This tool works forwards: you design the schema first, often before any real data exists yet, which is the more natural starting point when you're specifying an API contract or a config format from scratch rather than reverse-engineering one.

JSON Schema GeneratorVisual JSON Schema Builder
Starting pointAn existing JSON sampleNothing — you design it
Best forDocumenting data you already haveSpecifying a contract before data exists
Types areInferred from example valuesChosen explicitly per property
ConstraintsNot inferred (values only suggest type)Set directly — min/max, pattern, enum, format

Using the Output

The generated schema is standard Draft 2020-12 JSON Schema — paste it straight into JSON Schema Validator to test it against real payloads, use it with ajv or zod-to-json-schema's inverse in a Node.js validation layer, or drop it into OpenAPI/Swagger docs as a component schema. Every object gets additionalProperties: false by default, so unexpected fields are rejected rather than silently allowed — remove that line manually if you want a looser contract.

Common Uses

  • Specifying an API contract up frontDesign the request/response shape before any backend code exists, so frontend and backend teams build against the same agreed contract.
  • Dynamic forms and admin panelsMany form-rendering libraries and admin-panel generators consume a JSON Schema directly to render inputs — build the schema visually instead of hand-writing the JSON.
  • Config file specificationDefine the exact shape and constraints of an app's config file before writing any parsing or validation code.
  • Rapid prototypingSketch out a data model visually during a design discussion, without needing sample data or writing raw JSON Schema syntax on the spot.

Frequently Asked Questions

Draft 2020-12, referenced via the $schema URL at the top of the output — the current JSON Schema specification version, supported by all major validator libraries (ajv, jsonschema, etc.).

It's a deliberate default that makes the generated schema strict — any field not explicitly listed is rejected during validation, catching typos and unexpected API changes early. Delete that line from the output if you want to allow arbitrary extra properties instead.

Yes — an object property can itself contain more object or array properties, nested as deep as you need. Each level gets its own property editor indented under its parent.

Every array property has exactly one 'item type' editor beneath it — that's the schema every element in the array must match. For an array of objects, set the item type to object and add properties to it, same as anywhere else.

This tool only builds the schema itself. To validate real JSON data against the schema you build here, copy the output into JSON Schema Validator.

It's saved to your browser's local storage automatically as you build, so it survives a page refresh — but it's never sent to a server or shared unless you copy and send it yourself.

Yes — several React and Vue form libraries (react-jsonschema-form, JSON Forms, and others) render a form directly from a JSON Schema, so the output here can drive a real UI without further transformation.

This tool is designed for building a schema forward from scratch. To start from data you already have instead, use the JSON Schema Generator, then refine the result by hand or in your validator of choice.

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