JSON Schema is a vocabulary that allows you to annotate and validate JSON documents. It describes the structure, data types, and constraints of JSON data. It is widely used for API request/response validation, configuration file validation, and form generation.

Which JSON Schema draft does this tool support?

This tool supports core features of JSON Schema Draft 7, including type checking, required fields, string constraints (minLength, maxLength, pattern), number constraints (minimum, maximum), enum validation, object properties, and array item validation. Advanced features like $ref are not supported.

Is my data sent to a server?

No. All validation happens entirely in your browser using JavaScript. Your JSON data and schema never leave your device.

What validation checks are supported?

The validator supports: type checking (string, number, integer, boolean, array, object, null), required properties, minLength/maxLength for strings, minimum/maximum for numbers, enum values, regex pattern matching, array items validation, minItems/maxItems, uniqueItems, and additionalProperties.

How do I read the error paths?

Error paths use JSON Pointer notation. For example, '/address/city' means the 'city' property inside the 'address' object. '/items/0' means the first element of the 'items' array. The root path '/' refers to the top-level value.

CalcHive

JSON Schema Validator

New

Validate JSON data against a JSON Schema (Draft 7). Check types, required fields, string/number constraints, enums, patterns, and nested objects instantly in your browser.

JSON Data

JSON Schema (Draft 7)

Validation results will appear here...

How to Use JSON Schema Validator

Paste your JSON data in the left text area.
Paste your JSON Schema in the right text area.
Click "Validate Against Schema" to check if the data conforms.
Review validation errors with their paths and descriptions.
Fix your JSON data and re-validate until all checks pass.

What is JSON Schema Validation?

JSON Schema provides a contract for what JSON data is acceptable. By defining a schema, you can automatically validate API payloads, configuration files, and user input to ensure they meet your requirements before processing them.

This is especially useful in API development where you need to validate request bodies, in CI/CD pipelines to validate configuration files, and in form builders that generate forms from schemas. The schema acts as living documentation that is both human-readable and machine-enforceable.