JSON Schema Validator
Validates JSON data against a Zod-like or JSON Schema, helping developers confirm data shape, types, and constraints before integration.
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Worked Example & Common Values
Below is a sample worked calculation demonstrating how JSON Schema Validator processes input data instantly inside your browser.
Minified string: {"id":1,"status":"active","roles":["admin"]}
{
"id": 1,
"status": "active",
"roles": [
"admin"
]
}
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About This Tool
Core operation compiles the schema into validators, then traverses the data recursively to check types, required fields, enums, arrays, unions, refinements, and nested objects. Errors are reported with full data paths and human-friendly messages; if coercion is enabled, safe conversions may be applied.
Who benefits include API developers, integrations engineers, and QA teams validating config files or incoming payloads. Typical use cases are API request validation, payload sanitization, config verification, and pre-deployment data checks.
Unique value lies in deterministic, detailed error reporting and support for both strict and lenient modes, plus an option to export sanitized data when valid.
Core features include multi-field inputs, clear error paths, support for nested shapes, enums and unions, optional coercion, and exportable validated data.
How to Use
- Provide inputs: paste JSON data into input_json and schema into the schema field.
- Choose method: select Zod-like or JSON Schema interpretation depending on your schema.
- Run validation: start the validation process to compute results.
- Review outputs: inspect valid flag, errors, and sanitized_data if valid.
- Iterate: adjust data or schema to satisfy constraints.
Frequently Asked Questions
Find Quick Answers
What formats are supported for schema?
Can the tool coerce types?
How are errors reported?
Is this tool free and online?
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