Validate nested JSON payloads against standard JSON schemas with helpful error alerts.
JSON Schema Validator Guide
Validate JSON data structures against standard JSON schemas. Ensure your API payloads and configuration files match required types and parameters.
How to Validate JSON Against a Schema:
-
1
Paste your target JSON Schema (Draft-07, Draft-04, etc.) in the schema input editor.
-
2
Paste your sample JSON data object in the adjacent data window.
-
3
Click "Validate JSON". The validator evaluates fields and structural requirements.
-
4
Review validation passes or check error messages detailing incorrect types or missing parameters.
JSON Schema Validator Capabilities:
Comprehensive Schema Checks
Evaluates property requirements, minimum/maximum values, and array lengths.
Path Error Logs
Highlights the exact path and line of properties that fail validation.
Format Validation
Validates email formats, date-times, hostnames, and IP addresses.
100% Secure & Local
Runs entirely in your browser using local validation libraries.
Technical Specifications
| Specification | Details / Limits |
|---|---|
| Supported Schemas | Draft-04 / Draft-06 / Draft-07 Specs |
| Error Details | Property paths, constraint violations, invalid types |
| Execution Engine | Local AJV Validation Library integration |
Frequently Asked Questions
What is a JSON Schema?
A JSON Schema is a declarative language used to validate the structure, types, and constraints of JSON data, ensuring consistency in API data exchanges.
What kinds of validation errors are caught?
Common errors include missing required properties, incorrect data types (e.g. string instead of integer), value range violations, or incorrect string patterns.
Are my JSON schemas uploaded to a database?
No. All validation calculations run locally in your browser. Your schemas and data payloads remain private.