Paste data and schema
Both panels must contain valid JSON before schema validation can begin.
JSON tools
Validate JSON against a schema
The result will appear here after you run the tool.
Press Ctrl or Command and Enter to run the tool.
About this tool
JSON Schema Validator checks JSON data against a supplied JSON Schema by validating required fields, types, properties, array items, and enum rules locally in the browser. Error messages pinpoint the failing path and rule for quick correction.
Paste JSON data and a JSON Schema to check required fields, core data types, object properties, array items, enum values, and additional property rules.
Built for daily work
How to use this tool
Both panels must contain valid JSON before schema validation can begin.
The validator checks supported keywords and records the exact data path for each failure.
Fix the data or schema, then validate again until the result matches the intended contract.
Key features
Each validation failure includes the JSONPath to the offending property or array index so you can locate it in the data document.
Checks type, required, properties, items, enum, const, minimum, maximum, and additionalProperties. Format keywords such as email and URI are not yet enforced.
Load a JSON data document in the left panel and a schema in the right, each with its own file upload and example.
Neither the data instance nor the schema is sent to any server during checking.
Practical use cases
For local tools, input is processed in your browser and is not sent to application analytics.
Data processing noticeTechnical details
Limitations and important notes
Frequently asked questions
No. The current local validator focuses on common structural keywords. Review the limitations and use a full standards implementation for complex production contracts.
Yes. Use JSON Schema Generator to create a starting point, then edit and validate it here.
The current release does not enforce every format such as email, URI, hostname, or date-time.
Related guides and solutions
A practical introduction to generating a starting schema, strengthening constraints, and interpreting validation errors.
Learn moreA compact technical reference for writing and validating strict JSON that can be opened in standards-compliant parsers.
Learn moreValid JSON requires double quoted property names and strings, balanced brackets, supported values, correct escaping, and no trailing commas or comments.
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