Use the required keyword to specify mandatory properties. This catches missing critical data before it reaches production. A well-designed schema always includes at least one required field.
Specify exact types for every property: "type": "string", "type": "integer", "type": "boolean". This prevents silent type coercion bugs that are notoriously hard to debug in dynamically-typed languages.
Always validate API responses against their schema during CI/CD or before deployment. A single changed field type or missing property can break downstream services — catch it early with schema validation.
All validation runs 100% in your browser using client-side Ajv. Your JSON data and schema are never uploaded, stored, or tracked. Safe for proprietary APIs, production configs, and sensitive data.
Results update instantly as you type. Every field is checked against the schema with precise error messages including the JSONPath location, expected type, and suggested fix.
Don't have a schema? Click "Generate Schema" to auto-create one from your JSON data. The generated schema can be exported, edited, and used for validation in one seamless workflow.
Your data never leaves your device. Powered by Ajv running entirely in your browser — no server upload, no storage, no tracking. Safe for sensitive API responses and proprietary configuration files.
Paste your JSON data in the left panel, paste or generate a JSON Schema in the center panel, and see real-time validation results immediately in the right panel. Each error shows the exact path, expected type, and a description. All processing happens in your browser — no data is sent to any server.
Define a JSON Schema that describes your expected API response structure, then paste your API response into the JSON input. The validator checks every field against the schema — including required fields, data types, nested objects, and array structures. Perfect for API integration testing and debugging.
JSON Schema is a declarative language that describes the structure, constraints, and data types expected in a JSON document. It is used to validate data quality, ensure API consistency, detect breaking changes, and document data contracts between services.
In JSON Schema, the required keyword lists property names that must exist in the JSON object. If a required field is missing, the validator reports it as an error. This ensures critical data fields are never accidentally omitted.
Yes. The validator supports deeply nested JSON structures — objects within objects, arrays of objects, and arrays within arrays. Errors are reported with full JSONPath notation so you can pinpoint exactly where the mismatch occurs.
Yes, this tool uses Ajv (Another JSON Schema Validator) with full support for JSON Schema draft-07. This covers the most widely used schema features including if/then/else, const, contains, propertyNames, and more.
Yes. All validation runs 100% in your browser using client-side JavaScript. Your JSON data and schema are never uploaded, stored, or tracked. Safe for proprietary APIs, production configuration files, and sensitive data.
Common fixes include: add missing required fields, ensure values match expected types (string, number, boolean, array, object), flatten nested structures if schema expects a flat object, and adjust values to match constraints like minimum, maximum, or pattern.