Structured Output
Definition
Structured outputs follow a defined data format so that software can specifically process them further.
Structured output is a machine-readable output according to a defined format or schema, such as JSON with defined fields and types. It can be generated by constrained decoding or validated afterward.
Simply explained
The answer fills predefined fields instead of telling freely. Afterwards, it can be checked whether the information fits the agreed structure.
Why it matters in practice
The term contributes to secure, maintainable, and high-performance web applications as well as resilient technical decisions.
Example from business
An assistant provides invoice data exclusively according to a JSON schema, which is revalidated server-side.
Limits and pitfalls
- Equating parseability, schema conformity, and domain correctness; using only client validation; or not specifying optional fields, value ranges, versions, and error paths.
Origin & history
Grammars, parsers, and schemas are established computer science fundamentals; current AI interfaces use constrained decoding and schema validation.
Use in mid-sized companies
- Possible application: An assistant delivers invoice data exclusively according to a JSON schema, which is validated again server-side.
Frequently asked questions
What does Structured Output mean?
Structured output is a machine-readable output according to a defined format or schema, such as JSON with defined fields and types. It can be generated by constrained decoding or validated afterward. What mistakes should be avoided? Equating parseability, schema conformity, and domain correctness; using only client validation; or not specifying optional fields, value ranges, versions, and error paths.
Sources
- Core specification · JSON Schema, Core specification
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: