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Validate JSON against JSON Schema online.

Validate JSON payloads against Draft-07 and Draft 2020-12 JSON Schema specifications with instant client-side feedback. 100% private in-browser with zero server uploads.

Valid Schema & Data

Payload strictly satisfies schema rules

JSON Schema (Draft-07 / 2020-12)Valid JSON
JSON Data PayloadValid JSON
⚡

JSONGlow's JSON Schema Validator is a fast, 100% client-side validation utility that checks JSON data payloads against JSON Schema definitions using Ajv, highlighting exact error paths in real time.

Overview

Why JSON Schema validation is critical for contract testing

JSON Schema is the industry-standard specification for describing the structure, required fields, constraints, and data types of JSON documents. It powers OpenAPI (Swagger) contracts, Kubernetes custom resource definitions (CRDs), configuration validation, and API payload enforcement.

When building or consuming APIs, discovering schema mismatch bugs in production leads to runtime crashes and silent data corruption. Validating your payload against its JSON Schema definition ahead of deployment guarantees that required properties, enum values, minimums, maximums, and string formats are fully satisfied. You can also check general RFC 8259 syntax using our JSON Validator or format payloads with the JSON Formatter.

Unlike cloud-hosted validators that transmit your schemas and live payload data across third-party networks, JSONGlow runs completely inside your local web browser sandbox using compiled Ajv validation routines. Your proprietary data and internal API contracts never leave your machine.

You can inspect exact JSON pointer paths for violations, test sample schemas, download validated files, or generate programmatic Zod validation schemas using our companion tools. For TypeScript schema generation, try our JSON to Zod Converter or produce static type declarations with JSON to TypeScript.

Workflow Guide

How to validate JSON against a schema in 3 steps

1. Paste Schema01

Input your JSON Schema

Paste your Draft-07 or Draft 2020-12 schema definition into the left editor panel.

2. Paste Data02

Input the JSON data payload

Paste the JSON object or array you wish to validate into the right editor panel.

3. Review Status03

Inspect live validation results

View the instant green badge for compliant data or inspect exact line pointers for schema violations.

Practical Demonstration

JSON Schema Validation Example

See how a JSON Schema definition enforces data constraints and catches invalid payloads.

JSON Schema Definition
Input
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "type": "object",
  "properties": {
    "id": { "type": "integer", "minimum": 1 },
    "email": { "type": "string", "format": "email" },
    "role": { "type": "string", "enum": ["admin", "developer"] }
  },
  "required": ["id", "email", "role"]
}
Valid JSON Data Payload
Processed
{
  "id": 1042,
  "email": "dev@jsonglow.com",
  "role": "developer"
}
Key Difference:The validator checks data types, minimum number bounds, email string formats, and enum constraints, returning instant pass/fail status.

Troubleshooting & Edge Cases

Common schema validation violations & solutions

!

Missing required properties

Why it happens: The 'required' array lists properties that are missing from the input object payload.

Solution:Ensure all properties declared in 'required' are present in the target JSON object.
"required": ["id", "username"]
!

Type mismatch (string instead of integer)

Why it happens: A numeric value enclosed in quotes (e.g. "123") fails schema validation when type is set to 'integer' or 'number'.

Solution:Remove quotation marks from numeric values in your JSON data payload.
!

Enum value not matched

Why it happens: Property value does not match any of the allowed literal values declared in the 'enum' array.

Solution:Update the property value to match one of the exact enum items defined in the schema.
!

String format violations (email, uri, date-time)

Why it happens: Strings failing regex validation for standard formats like 'email' or 'date-time' trigger format errors.

Solution:Ensure strings conform to valid RFC specifications for the declared format keyword.

Core Capabilities

Engineered for API contract validation & speed

▸

Ajv-Powered Validation

Uses compiled Ajv routines for standard-compliant Draft-07 and Draft 2020-12 validation.

▸

100% Client-Side Privacy

Zero server uploads. Schemas and sensitive payload bytes are evaluated strictly inside local browser memory.

▸

Exact Error Pointers

Pinpoints exact JSON instance paths (e.g. /users/0/email) and violation keywords for rapid debugging.

▸

Preset Schema Library

Quick-load sample user registration schemas and payload tests to verify validation rules.

▸

Dual Editor Panels

Side-by-side editing allows simultaneous tweaking of schema rules and live test data payloads.

▸

Fast Real-Time Evaluation

Validates instantly as you type with non-blocking deferred evaluation for smooth editor typing.

Frequently Asked Questions

Common questions answered.

Need more help? Our tools execute entirely in your browser without transmitting any payload to remote servers.

Which JSON Schema drafts are supported?+

JSONGlow supports modern JSON Schema drafts including Draft-07, Draft-06, Draft-04, and Draft 2020-12 powered by Ajv.

Does JSONGlow transmit my schemas or data over the network?+

No. All schema compilation and data validation happen 100% locally in your browser. No payload data is sent to external servers.

Can I generate a schema from raw JSON instead?+

Yes. If you need runtime validation code for TypeScript, use our JSON to Zod Schema Generator to create complete type-safe schemas automatically.

How are validation errors displayed?+

When a payload violates schema constraints, an alert lists each failed property with its JSON Pointer path, rule keyword (such as 'required' or 'type'), and actionable message.

Can I validate arrays of objects against a schema?+

Yes. Define the root schema with 'type': 'array' and describe individual object constraints inside the 'items' property.

Is this JSON Schema validator free?+

Yes. It is completely free with no usage limits, no credit card, and no registration required.

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