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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1,828+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how JSON Schema Validator processes input data instantly inside your browser.

Sample Input Minified string: {"id":1,"status":"active","roles":["admin"]}
Computed Result { "id": 1, "status": "active", "roles": [ "admin" ] }
Execution Mode Client-Side In-Browser JS
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About This Tool

This tool accepts two inputs: a JSON payload and a schema expressed in Zod-like rules or JSON Schema. It validates the payload against the schema to determine conformity and returns a structured result.
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

  1. Provide inputs: paste JSON data into input_json and schema into the schema field.
  2. Choose method: select Zod-like or JSON Schema interpretation depending on your schema.
  3. Run validation: start the validation process to compute results.
  4. Review outputs: inspect valid flag, errors, and sanitized_data if valid.
  5. Iterate: adjust data or schema to satisfy constraints.
How to use json schema validator zod

Frequently Asked Questions

Find Quick Answers

What formats are supported for schema?
The tool accepts both Zod-like schema definitions and JSON Schema. It parses common constraints (types, required, enums, nested objects) and reports violations with paths. Complex constructs may be simplified in this implementation.
Can the tool coerce types?
Yes, a safe coercion option attempts to convert compatible values (e.g., numeric strings to numbers). If coercion is not possible or disabled, validation fails with a detailed error.
How are errors reported?
Errors include a data path, expected type or constraint, actual value, and a descriptive message. Multiple errors are returned for all violations when available.
Is this tool free and online?
Yes. It operates entirely in the browser or serverless context as a free online validator, with no required accounts or submissions to external services.

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