AJV JSON Validator

A runtime JSON Schema validator powered by AJV that checks data against schemas, helping developers ensure conformance and error-free API and data workflows.

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1,416+
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 AJV JSON 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

Purpose & User Intent: The tool validates JSON data against a JSON Schema using AJV, addressing backend developers, API engineers, and data engineers who require runtime conformance checks before processing, persisting, or contracting API responses. It is used when data payloads must adhere to a defined schema to ensure reliability, data quality, and contract testing.\n\nCore Logic & Features: Core capabilities include loading a schema, compiling with AJV, validating data, and returning structured errors. Required features: support for multiple AJV draft versions, proper $ref resolution, allErrors option, and strict mode. Optional/advanced features: custom keywords, formats, asynchronous validation, schema caching, and integration with external schemas.\n\nInputs & Outputs: Inputs: schema (JSON object), data (any), options (object with AJV options such as strict, coerceTypes, allErrors). Outputs: valid (boolean); errors (array of objects with dataPath, schemaPath, keyword, message, params).\n\nAlgorithms & Calculations: Uses AJV to compile the schema and run validate(data). When allErrors is enabled, collects all violations; error objects are normalized to a consistent schema; path fields map to the JSON data structure; performance is improved by schema pre-compilation; supports format checks as per the schema.\n\nError & Edge Cases: Invalid or circular schemas trigger compile errors; data with extra properties may fail in strict mode; missing inputs or non-JSON content fail gracefully with a descriptive error in the output structure; unresolved $ref to external schemas may require pre-fetching or dedicated loader; very large schemas may need streaming or chunking.\n\nIndustry/Region & Localization: Aligns with JSON Schema standards (draft-07/2013, 2019-09); no locale-specific formatting; outputs and messages are JSON-native for downstream consumption.\n\nAssumptions & Exclusions: Assumes inputs are valid JSON objects; does not perform UI rendering, data transformation, or storage; not a data generation tool; does not enforce business rules beyond the schema.

How to Use

  1. Provide inputs: schema (JSON object) and data (JSON).
  2. Configure options: set strict, allErrors, coerceTypes as needed.
  3. Run validation: compile schema and validate the data using AJV.
  4. Review outputs: read valid boolean and errors array with paths and messages.
  5. Iterate: adjust schema or data and re-run validation.
How to use validator ajv

Frequently Asked Questions

Find Quick Answers

What does this tool validate?
It validates JSON data against a JSON Schema using AJV, covering types, required fields, formats, enums, and custom keywords; it returns detailed error objects for any violations.
What inputs are required?
A JSON Schema object and a JSON data payload are required; optional AJV options may be provided to control strictness, coercion, and error reporting behavior.
How are errors reported?
Errors include dataPath, schemaPath, keyword, and message. When allErrors is enabled, multiple violations are returned to guide comprehensive fixes.
Can it validate remote or async schemas?
AJV supports $ref to external schemas; this tool can fetch or preload those references where environment policies permit, otherwise it will report unresolved references and fail gracefully.

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