JSON Schema Validator

JSON Schema Validator | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Validation
Input types: textarea, select
Output type: text
Sample coverage: 4
API ready: Yes

Overview

The JSON Schema Validator allows you to quickly validate your JSON data against a specified JSON Schema draft to ensure compliance, data integrity, and structure correctness.

When to use

When verifying that API request or response payloads match your defined API specifications.
When debugging configuration files that must adhere to a strict JSON schema structure.
When testing and developing new JSON schemas to ensure they correctly flag invalid data.

How it works

1Paste your raw JSON data into the JSON Data input field.
2Paste the corresponding JSON Schema into the JSON Schema input field.
3Select the appropriate Schema Draft version (such as Draft 4, 6, 7, 2019-09, or 2020-12) from the dropdown menu.
4Review the validation output to see if the JSON is valid or to inspect specific error messages and paths.

Use cases

Validating client-side form submissions against a backend schema before sending requests.
Ensuring configuration files like package.json or custom settings files are structured correctly.
Testing mock API responses against OpenAPI schema definitions during development.

Examples

1. Validating a User Profile Payload

Backend Developer

Background

A developer is building a registration API and needs to ensure incoming user payloads contain a valid email, age, and username.

Problem

Manually checking if the payload matches the schema is slow and error-prone.

How to use

Paste the user JSON into the JSON Data field, paste the user schema into the JSON Schema field, select Draft 7, and run the validation.

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "type": "object",
  "properties": {
    "username": { "type": "string" },
    "email": { "type": "string", "format": "email" },
    "age": { "type": "integer", "minimum": 18 }
  },
  "required": ["username", "email"]
}

Outcome

The validator flags that the 'age' field is a string instead of an integer, allowing the developer to fix the client-side payload.

2. Verifying Configuration Files

DevOps Engineer

Background

An engineer is deploying a service that relies on a complex JSON configuration file which must follow a strict schema.

Problem

A typo in the configuration file could cause the service to crash on startup.

FAQ

Which JSON Schema drafts are supported?

The validator supports Draft 4, Draft 6, Draft 7, Draft 2019-09, and Draft 2020-12.

What library is used to perform the validation?

The tool uses the AJV (Another JSON Schema Validator) library for fast and compliant schema validation.

How do I know if my JSON is valid?

The tool will display a success message if the JSON conforms to the schema, or list specific validation errors if it does not.

Can I validate nested JSON structures?

Yes, the validator fully supports nested objects, arrays, and complex schema definitions.

Is my JSON data sent to a server?

No, all validation is performed locally in your browser for maximum privacy and security.

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "type": "object",
  "properties": {
    "port": { "type": "integer" },
    "debug": { "type": "boolean" }
  },
  "required": ["port"]
}

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Validating a User Profile Payload

2. Verifying Configuration Files

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