SampleYogiSampleYogi

Sample JSON Schema Generator

Generate JSON Schema files for data validation with format, pattern, and constraint support

✨ Generado localmente en tu navegador

Muestras Listas para Descargar

Descarga archivos de muestra pre-construidos al instante. Sin configuración.

Minimal Schema

200 B

Basic object with required fields (~200 bytes)

Basic

String Validation

400 B

String with format, pattern, length constraints (~400 bytes)

Validation

Number Validation

350 B

Numbers with range, multiple constraints (~350 bytes)

Validation

Simple Array

300 B

Array with items, uniqueness, length (~300 bytes)

Basic

Enum Values

350 B

Schema with enum and const values (~350 bytes)

Basic

User Profile Schema

1.5 KB

Complete user profile with nested objects (~1.5 KB)

Templates

Crear Archivo Personalizado

Configura tu propio archivo con ajustes y contenido personalizados

Schema Type
Choose a schema template or customize your own

Select a pre-built schema template

Select the JSON Schema specification version

Schema Features
Additional features to include in the schema

Generate professional JSON Schema files in seconds. Create validation schemas for APIs, configurations, and data models with full support for formats, patterns, and constraints.

What is JSON Schema?

JSON Schema is a declarative language for describing and validating the structure of JSON data. It provides a contract for what JSON data is allowed, enabling validation, documentation, and code generation. JSON Schema powers API documentation (OpenAPI), form validation, configuration files, and data interchange between systems. With type checking, format validation, and constraint definitions, JSON Schema ensures data integrity throughout your application.

Why Use JSON Schema?

✓

Validate API request/response payloads before processing

✓

Document data structures with machine-readable specifications

✓

Generate TypeScript/JavaScript types from schemas

✓

Create self-validating configuration files

✓

Build dynamic forms based on schema definitions

✓

Ensure data quality in ETL pipelines

✓

Share data contracts between frontend and backend teams

✓

Test API responses against expected structures

Common Use Cases

API Development

Define request and response schemas for REST APIs. Validate payloads at runtime, generate documentation, and create type definitions automatically.

Configuration Validation

Validate application configuration files against schemas. Catch errors early with type checking, required fields, and valid value ranges.

Form Generation

Generate dynamic forms from JSON Schema using libraries like react-jsonschema-form. The schema defines fields, types, and validation rules.

Data Quality

Validate data imports, exports, and transformations. Ensure data meets expected formats before processing in ETL pipelines.

Code Generation

Generate TypeScript interfaces, Python dataclasses, or Go structs from schemas. Keep types synchronized across languages.

Documentation

Use schemas as living documentation. Tools like JSON Schema Viewer generate human-readable docs from schema definitions.

Features

✦

Multiple schema templates: User, Product, Order, Config, API Response

✦

Support for all major JSON Schema drafts (2020-12, 2019-09, 07, 04)

✦

String validation: format, pattern, length constraints

✦

Number validation: minimum, maximum, multipleOf

✦

Array validation: items, minItems, maxItems, uniqueItems

✦

Object validation: properties, required, additionalProperties

✦

Enum and const values for fixed options

✦

Nested objects and $ref references

✦

Conditional schemas with if/then/else

✦

Schema composition with allOf, oneOf, anyOf

✦

Optional descriptions, examples, and defaults

✦

Strict mode with additionalProperties: false

✦

Download as .schema.json file

✦

Copy to clipboard functionality

Cómo Funciona

1

Configurar

Personaliza la configuración de tu archivo usando el formulario

2

Vista Previa

Ve tus cambios en tiempo real en el panel de vista previa

3

Descargar

Descarga tu archivo instantáneamente - sin registro

Preguntas Frecuentes

What is JSON Schema?

JSON Schema is a vocabulary that allows you to annotate and validate JSON documents. It describes your existing data format, provides clear documentation, and validates data against a defined structure. JSON Schema is used for API contracts, configuration validation, form validation, and data interchange.

Which JSON Schema draft should I use?

For new projects, use Draft 2020-12 (the latest) for the most features. Draft-07 is widely supported and stable. Draft-04 is legacy but still used in older tools. The draft version determines available keywords and validation behaviors.

How do I validate JSON against a schema?

Use a JSON Schema validator library for your language: Ajv (JavaScript), jsonschema (Python), or json-schema (Ruby). Online validators like jsonschemavalidator.net also work. Most validators support multiple draft versions.

What validation formats are supported?

JSON Schema supports built-in formats: date-time, date, time, email, uri, hostname, ipv4, ipv6, uuid, and regex. Draft 2019-09+ adds duration and uri-template. You can also define custom format validators.

What are common JSON Schema keywords?

Common keywords include: type (data type), properties (object fields), required (mandatory fields), enum (allowed values), pattern (regex), minimum/maximum (number range), minLength/maxLength (string length), and items (array items).

How do I use conditional validation?

Use if/then/else for conditional schemas, or oneOf/anyOf/allOf for schema composition. Example: if type is "company", then require companyName and taxId fields. These allow flexible validation based on data values.