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JSON Schema Validator

Validate JSON against a draft-07 or 2020-12 schema. Review error paths without sending the documents to a server.

Free to useNo sign-upRuns in your browser
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Enter the inputs, then select Validate JSON.

One JSON object or an array of objects. Up to 100,000 characters.

Your result
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Result will appear here

How JSON Schema Validator works

Compile a local JSON Schema with AJV and formats support and validate the supplied JSON without coercion.

Supports draft-07 and draft 2020-12, local references and standard format checks. Remote references are not fetched. Inputs and schema complexity are bounded in a timed worker. The tool does not add defaults, coerce values or prove your business rules are complete.

Concept diagram showing JSON input and validation paths output.
Concept diagram; the operation screenshots show the implemented tool.

How to use JSON Schema Validator

Paste the JSON document and a local draft-07 or 2020-12 schema, then inspect the validation status and any error paths.

Paste JSON and its local schema

Use a schema object or boolean schema. Supported drafts are draft-07 and 2020-12; an omitted $schema uses draft-07. Place definitions in the same schema for local fragment references.

Input and settings
JSON Schema Validator: input and settings in the implemented browser tool
Actual local browser view. Open the image to read it at full size.

Validate JSON against the schema

Run Validate JSON. The worker compiles the supplied schema and checks the data with format validation enabled. It does not coerce values, insert defaults or fetch remote schemas.

Tool result
JSON Schema Validator: tool result in the implemented browser tool
Actual local browser view. Open the image to read it at full size.

Read schema mismatch paths

Read Valid JSON or Schema mismatch. When mismatches appear, use Data path, Keyword, Message and Details to locate the issue. Correct the data or schema according to the intended contract, then validate again.

Review the details
JSON Schema Validator: review the details in the implemented browser tool
Actual local browser view. Open the image to read it at full size.

Tasks for JSON Schema Validator

Check example documents against a schema and inspect the reported mismatches.

Check an API payload example

Validate a response against the contract you supply. This does not establish that the contract includes every business rule.

Developer input and configuration represented by document cards.
Prepare the input. Concept illustration.

Test required and typed fields

Try valid and invalid examples to check required entries, data types and standard formats. Values are not coerced or filled with defaults.

A developer example flowing from input to reviewed output.
Inspect an example. Concept illustration.

Review a generated schema

Paste a schema from JSON Schema Generator and test additional representative payloads. Edit inferred requirements when they do not fit the intended contract.

Developer output handed to the next stage of a workflow.
Use the result in your workflow. Concept illustration.

Read JSON Schema mismatch paths and keywords

Distinguish an evaluated schema mismatch from a document or schema that could not be parsed or compiled.

Valid JSON means the document passes the supplied supported schema; it does not prove the schema covers every business rule. Schema mismatch lists up to 100 validation errors. Malformed JSON, unsupported references or a schema compilation problem instead produce an input error.

A developer result reviewed alongside its source.
Review the returned output. Concept illustration.

Check local references and JSON Schema limits

Review the selected schema draft, references and numeric representation before retrying a failed validation.

Represent integers outside JavaScript’s safe range as strings where the contract allows them. JSON data and schema inputs each accept up to 100,000 characters. Schemas are bounded at 5,000 inspected nodes and 40 nesting levels, with pattern strings up to 300 characters.

Only local fragment references are supported; remote schemas are not fetched. Validation runs in a timed worker, so complex patterns or recursive schemas may need a smaller representative document. The checker does not change values to make them fit the schema.

Input format and assumptions reviewed for a developer task.
Check format and assumptions. Concept illustration.

Validate JSON against your schema

Paste a supported JSON Schema and sample document, then inspect the status and reported mismatch paths.

Validate JSON

JSON Schema Validator: common questions

Answers about using JSON Schema Validator and understanding its results.

Will it download a referenced schema?

No. Provide definitions inside your schema; remote references are unsupported.

Are values changed to fit the schema?

No. Validation does not coerce values or insert defaults.