JSON Schema Validator
Validate any JSON document against a JSON Schema (Draft 7) and see detailed error messages.
About this tool
JSON Schema is a powerful standard for defining and validating the structure of JSON documents. It allows you to specify exactly what fields are required, what data types are allowed, what values are acceptable, and how nested objects should be organized. Validating JSON against a schema is essential in API development, data processing pipelines, configuration file management, and anywhere you need to ensure data quality and consistency before processing.
This tool lets you paste or load a JSON document and a JSON Schema (Draft 7), then instantly validates the document against the schema. If validation succeeds, you're notified immediately. If validation fails, the tool displays detailed error messages showing exactly which fields violated the schema—including the error path, the value that failed, and the validation rule that was broken. This makes debugging data quality issues fast and straightforward.
JSON Schema validation is invaluable for API developers testing request and response payloads, backend engineers validating incoming user data, data engineers ensuring dataset consistency, and DevOps teams checking configuration files. The tool eliminates manual inspection and catches structural problems before they cause runtime errors. Whether you're integrating third-party APIs, processing bulk data imports, or building robust microservices, this validator saves time and prevents data-related bugs.
Frequently Asked Questions
Code Implementation
import json
import jsonschema
from jsonschema import validate, ValidationError
# pip install jsonschema
schema = {
"type": "object",
"properties": {
"name": { "type": "string", "minLength": 1 },
"age": { "type": "integer", "minimum": 0 },
"email": { "type": "string", "format": "email" }
},
"required": ["name", "age"]
}
# Valid data
data = { "name": "Alice", "age": 30, "email": "alice@example.com" }
try:
validate(instance=data, schema=schema)
print("Valid!")
except ValidationError as e:
print(f"Invalid: {e.message}")
# Invalid data
bad_data = { "name": "", "age": -1 }
try:
validate(instance=bad_data, schema=schema)
except ValidationError as e:
print(f"Invalid: {e.message}")
# Invalid: '' is too shortComments & Feedback
Comments are powered by Giscus. Sign in with GitHub to leave a comment.