Instantly test any JSON payload against a strict JSON Schema Definition. Catch missing fields, invalid types, and structural errors before they hit production.
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APIs communicate using JSON. However, JSON itself has no built-in schema or strict typing.
If your backend expects a user_id as an integer, but the frontend sends "user_id": "123" as a string, standard JSON parsing will succeed, but your database query will immediately crash.
JSON Schema solves this problem by defining a strict "contract" for what the JSON payload must look like.
A JSON Schema is simply a JSON object that describes another JSON object.
Here is a simple JSON Schema for a User Profile:
{ "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "properties": { "name": { "type": "string", "minLength": 2 }, "age": { "type": "integer", "minimum": 18 }, "email": { "type": "string", "format": "email" } }, "required": ["name", "email"], "additionalProperties": false }
name (string, at least 2 characters long).email (string, properly formatted as an email address).age is optional, but if provided, it must be an integer > 18.additionalProperties: false means that if any extra fields (like admin: true) are sent, the validation will fail immediately.Our visual validator allows you to:
It uses the industry-standard AJV engine, ensuring that if it passes here, it will pass in your production Node.js servers.
JSON Schema is a declarative vocabulary that allows you to annotate and validate JSON documents. It acts as a contract for your JSON data, ensuring that expected properties exist, numbers fall within specific ranges, and strings match required patterns (like emails or UUIDs).
Our tool uses AJV (Another JSON Schema Validator), the fastest and most standard-compliant JSON Schema validator for JavaScript. It supports JSON Schema draft-04, draft-06, draft-07, draft-2019-09, and draft-2020-12.
No. The entire AJV validation engine runs locally inside your browser using WebAssembly and local JavaScript. We never upload your payloads, meaning you can safely validate sensitive production data.
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