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JSON to Yup Schema

Infer a Yup validation schema from a representative JSON object.

 

Create Yup validators from JSON shapes

Yup schemas validate form values and API data at runtime, but nested declarations are tedious to write from a large example. This converter walks a JSON object and emits yup.object, yup.array, and scalar validators for each value. Whole numbers receive integer validation, non-null sample fields are marked required, and nested records remain structured instead of being reduced to generic mixed values.

With the default input, userSchema requires user_id as an integer number, name as a string, and active as a boolean. Nested profile data becomes an embedded required object, while a list uses yup.array().of with an inferred child validator. The output can seed a Formik form schema or protect an API boundary after you adapt its rules.

Required fields and semantic validation

A concrete payload reveals syntax but not every business rule. The generator cannot know minimum lengths, accepted enum values, email formats, or whether a field may be absent elsewhere. Null becomes a nullable mixed validator and empty arrays use mixed members. The sample stays in your browser. Review required markers and add domain-specific tests before treating the schema as authoritative.

Frequently Asked Questions

Are generated Yup fields required?

Non-null values present in the sample receive required validators; adjust this when your actual contract permits omission.

Does the output support nested objects?

Yes. Objects and populated arrays are recursively converted into nested Yup validators.

Why are string formats not inferred?

JSON represents emails, dates, URLs, and ordinary text with the same string type, so semantic rules require your decision.

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