Testing payload contracts
Validate that request or response bodies still match the schema expected by an API or integration.
JSON Schema Validator checks whether a JSON payload matches the structure and rules defined in a schema. It is useful for API contracts, form submissions, test fixtures, and imports where valid JSON still needs to satisfy required fields and data types.
JSON Schema Validator helps you validate JSON against a schema in the browser so you can catch missing fields, wrong types, and common rule violations before data moves into an API, app, or config pipeline.
Related next steps include JSON Validator, JSON Formatter, and the Format JSON for API debugging page if you want to keep working on the same task from a different angle.
Use it when valid JSON still needs to satisfy a schema. This page is the right fit for required-field checks, type validation, API contract testing, and structured import reviews.
If you only need to check raw syntax, use JSON Validator. For broader JSON workflows and debugging examples, continue into the Format JSON for API debugging page.
Paste or type your input, review the result, and copy or export it once it matches what you need.
This example shows the kind of input that often fails validation and the feedback you can review before fixing it.
{"name":"Ana","age":29}
---
{"type":"object","required":["name"],"properties":{"name":{"type":"string"},"age":{"type":"number","minimum":18}}}
Valid against the supported schema checks.
Validate that request or response bodies still match the schema expected by an API or integration.
Use it when valid JSON still needs to satisfy field presence, allowed types, or structural rules.
It is useful before uploads or form submissions where schema mismatches can break the next step.
If you only need to confirm raw JSON validity, continue with JSON Validator.
JSON Schema Validator helps you validate JSON against a schema in the browser so you can catch missing fields, wrong types, and common rule violations before data moves into an API, app, or config pipeline.
Use it when valid JSON still needs to satisfy a schema. This page is the right fit for required-field checks, type validation, API contract testing, and structured import reviews.
JSON Schema Validator focuses on correctness and error checking. Use JSON Validator when you need to check whether JSON is valid and identify parsing issues in the browser for debugging payloads, testing API responses, or reviewing copied configuration data.
Yes. This tool runs in the browser so you can work with the input on the page without sending it through a custom backend on this site.
A good next step is JSON Validator or the Format JSON for API debugging page.
JSON Compare Tool helps you compare two JSON documents side by side in the browser so you can spot changed fields, missing keys, and new values before you publish or deploy an update.
Open tool pageJSON Formatter helps you format JSON with readable spacing and indentation in the browser for reviewing API payloads, debugging responses, or preparing JSON for documentation.
Open tool pageJSON Validator helps you check whether JSON is valid and identify parsing issues in the browser for debugging payloads, testing API responses, or reviewing copied configuration data.
Open tool pageXML Validator helps you check whether XML parses correctly in the browser so you can catch broken tags, invalid nesting, and parser errors before XML moves into a feed, import, or integration workflow.
Open tool pageRegex Tester helps you test a regular expression against sample text in the browser for debugging patterns, checking match behavior, or refining search and validation rules.
Open tool pageYAML to JSON Converter helps you turn common YAML into JSON directly in the browser, which is useful when you are moving between config files, deployment settings, and tools that expect JSON payloads.
Open tool pageThese workflow pages show where this tool fits inside a real task and which next step usually follows.
These topic hubs connect this tool to the wider cluster so users and crawlers can continue into broader informational intent when needed.
Use the output here as a quick browser-side check, then confirm it against your live system or source data if the result will be used in a production workflow.