Bootstrapping a Schema From a Real Example
Writing a JSON Schema by hand from scratch (see JSON Schema Tutorial for the full keyword reference) is tedious for anything beyond a trivial object — every field needs its type specified, nested objects need their own nested schema, and arrays need an items schema describing their element type. Generating a draft schema automatically from a real sample JSON document handles this mechanical type-inference step, producing a solid starting point that a human then refines rather than starting from a completely blank schema.
Type inference from a single example has real limits worth knowing: it can only infer the type it sees in that specific sample, not the full range of valid values a field might actually need to accept in production — a field that's always an integer in your one example might legitimately need to allow null in some real records, which the generator has no way to know without seeing an example that demonstrates it.
Because of this, a generated schema should be treated as a draft to review and tighten (or loosen) deliberately — adding required fields, enum constraints, or format validators the source example alone can't reveal — rather than as a finished, production-ready validation contract.