Offline JSON Schema Validator & Diagnostics

Offline JSON Schema Validator & Diagnostics: Validates data types, property existence, and constraint rules against the JSON Schema DOM.

Json Schema Validator · Client runtimeSandboxed
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About this offline json schema validator & diagnostics

Validates data types, property existence, and constraint rules against the JSON Schema DOM Transforms and validates developer data structures locally, preventing confidential payload exposure during data wrangling.

Syntax parsing & data transformation logic

Reads JSON data and a JSON Schema from the same input or second field, validates with the bundled JSON Schema evaluator, and returns valid, schemaValid, conforms, draft and errors. It does not execute application code.

Worked conversion & output example

Scenario: Validate a Draft-07 object whose integer id is present.

Sample input:

{"data":{"id":1},"schema":{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","required":["id"],"properties":{"id":{"type":"integer"}}}}

Processing: Use the built-in draft-07 path and report schema validity and instance conformance.

Illustrative output:

{ "valid": true, "schemaValid": true, "conforms": true, "draft": "draft-07", "errors": [] }

Syntax constraints & input size limits

Malformed JSON in either field is rejected. Boolean and empty-object schemas are valid inputs. Draft selection is limited to 2020-12 versus Draft 7; the tool does not fetch remote schemas or guarantee every vocabulary/dialect.

Data conversions and formatting in Offline JSON Schema Validator & Diagnostics reflect standard structured syntax. Verify parsed outputs against your target runtime before deployment.

Local client execution boundary

Data parsing and transformations in Offline JSON Schema Validator & Diagnostics execute in the local browser tab without remote data transmission.

Data format specifications & language standards

Data interchange formats and language grammar specifications:

Offline JSON Schema Validator & Diagnostics verification · Audit standards

How to use it

  1. Enter JSON containing `data` and `schema`, or put `schema` in the second field.
  2. Select Draft 2020-12 when `$schema` contains `2020-12`, otherwise Draft 7, and validate the schema and data.
  3. Read JSON flags for schema validity, data conformance, draft and errors.

Frequently asked questions

How does JSON Schema Validator select its validation path?+

It reads `data` and `schema` from primary JSON, or uses the second field as schema. A `$schema` containing `2020-12` selects that implemented path; all other values select draft-07. It returns valid, schemaValid, conforms, draft, and errors.

Can you show an input and its result?+

A document with integer `id: 1` and a draft-07 object schema returns `valid: true`, `schemaValid: true`, `conforms: true`, `draft: "draft-07"`, and an empty errors array. This proves that concrete supported case only.

Which schema checks are implemented?+

The built-in validator handles supported type, required-property, numeric, string, array, object, enum, const, composition, and local-reference checks. It reports validation results as JSON; it does not fetch an external reference.

What is outside the JSON Schema Validator boundary?+

It is not a complete implementation of every JSON Schema draft or vocabulary. It does not download remote schemas, validate an arbitrary meta-schema, repair malformed JSON, or turn a passing subset result into proof that a document meets another validator.