Json Schema Validator
A precise tool to validate JSON data against a schema using the nlohmann library, targeting developers and QA engineers.
Tool coming soon!
We're working hard to get this tool ready for you.
Worked Example & Common Values
Below is a sample worked calculation demonstrating how Json Schema Validator processes input data instantly inside your browser.
Minified string: {"id":1,"status":"active","roles":["admin"]}
{
"id": 1,
"status": "active",
"roles": [
"admin"
]
}
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About This Tool
Conceptually, users supply a schema and a data instance: the validator performs a depth-first traversal, compares each node against its corresponding schema rule, and records any mismatch with a path and a human-friendly message. Implementation relies on recursive descent, strict type matching, and an error collector that aggregates all violations in a single run, preserving the original data structure for traceability.
The tool exposes options for strict mode, reference resolution, draft compatibility, and optional behaviors such as allowing additionalProperties or treating unknown keywords with warnings. It returns a boolean valid result and a detailed errors list when invalid. Its design favors deterministic outcomes, predictable error ordering, and stable performance on large documents by streaming checks and memoizing resolved definitions where possible.
Unique value comes from tight integration with a widely adopted C++ JSON library, comprehensive schema support aligned with common practice, and structured error reporting suitable for automated tooling. Core features include in-memory validation, JSON Pointer-based error locations, and clear interfaces for embedding in unit tests or CI pipelines. Use cases span API response validation, configuration file verification, data fixture testing, and cross-system data validation in microservices.
How to Use
- Provide inputs: supply the JSON Schema and the JSON document to validate.
- Configure optional settings: strict mode, draft version, and local references resolution.
- Run validation: execute the validator to produce a result and error list.
- Review outputs: inspect the boolean valid flag and the detailed errors with paths and messages.
- Integrate into tests or CI: embed in unit tests or pipelines to enforce data integrity.
Frequently Asked Questions
Find Quick Answers
What formats are supported?
Can it resolve $ref references across files?
Does it support all JSON Schema features?
How to integrate with CI pipelines?
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