JSON Schema Generator
Generate JSON Schema from sample JSON data with type inference, required fields, and nested object support.
About This Tool
The JSON Schema Generator is a free browser-based tool that automatically creates a JSON Schema definition from any sample JSON data. Instead of manually writing schema definitions for API validation, configuration files, or data contracts, you can paste a representative JSON example and get a complete, standards-compliant schema in milliseconds.
JSON Schema is a powerful vocabulary for annotating and validating JSON documents. It is widely used in API development to define request and response contracts, in configuration management to enforce valid settings, and in form generation to automatically build user interfaces from data models. By generating a schema from existing data, you can bootstrap your validation logic without starting from scratch.
The generator performs recursive type inference across your entire
JSON structure. Primitive values are mapped to their corresponding
JSON Schema types — string,
number, integer,
boolean, and null. Nested objects
produce nested schema definitions with their own
properties and optional required
arrays. Arrays are analyzed to determine a consistent element
type; if the array contains mixed types, a oneOf
composition is generated automatically. Empty arrays produce an
open items schema so you can refine them later.
All processing happens entirely in your browser using native JavaScript APIs. Your data never leaves your machine — there are no server round-trips, no logging, and no third-party analytics on your input. This makes it safe for sensitive payloads such as internal API responses, authentication tokens, and configuration files containing secrets. You can choose between Draft-07 and Draft 2020-12 schema versions, toggle required fields, add empty description placeholders for documentation, and control whether additional properties are allowed.
How to Use
- Paste or type your sample JSON into the Sample JSON panel on the left.
- The generated JSON Schema appears automatically in the right panel as you type.
- Select the Schema Version (Draft-07 or Draft 2020-12) to set the
$schemaURL. - Toggle All required to include or exclude
requiredarrays for each object level. - Enable Add descriptions to insert empty
descriptionfields you can fill in later. - Toggle Additional properties to control whether objects accept properties not defined in the schema.
- Click Copy or press Ctrl+Shift+C to copy the generated schema to your clipboard.
Popular JSON Schema Generator Examples
FAQ
What is JSON Schema and why do I need it?
JSON Schema is a declarative language for describing the structure, content, and format of JSON data. It is used to validate API payloads, generate documentation, build forms automatically, and enforce data contracts between services. Having a schema ensures that your data conforms to expected types and structures before it reaches your application logic.
How does the tool handle nested objects?
Each nested object in your JSON is recursively analyzed and produces a nested schema with its own type, properties, and required fields. The nesting depth is unlimited, so deeply nested structures are fully supported.
What happens with arrays of mixed types?
If all elements in an array share the same type, a simple items schema is generated. If the array contains elements of different types (e.g. strings and numbers), the tool produces a oneOf composition listing each distinct type. Empty arrays produce an open items: {} schema that you can refine manually.
Is my data safe?
Yes. All schema generation runs entirely in your browser using JavaScript's built-in JSON.parse and custom inference logic. No data is sent to any server. You can verify this by checking the Network tab in your browser's developer tools while using the tool.
What is the difference between Draft-07 and Draft 2020-12?
Draft-07 is a widely supported and stable version of JSON Schema used by many tools and libraries. Draft 2020-12 is a newer version that introduces improved vocabulary for dynamic references, prefixItems for tuple validation, and cleaner semantics for conditional schemas. For most use cases the generated schema is compatible with both versions; the main difference is the $schema URL that identifies which specification the schema conforms to.
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