Output Parsing
Definition
Output parsing reads a response as an expected data structure.
The structured interpretation of a system or model output into an expected data format.
Simply explained
A program attempts to split an output into the intended fields and values.
Why it matters in practice
The term helps to design automated processes reliably, measurably, and with clear responsibilities.
Example from business
A model response is read as JSON, validated against a schema, and discarded if errors occur.
Limits and pitfalls
- Treating free text with regular expressions as reliably structured or overlooking partial errors.
Origin & history
Parsers are fundamental in software; with language models, JSON schema and validation are often added.
Use in mid-sized companies
- Possible application: A model response is read as JSON, validated against a schema, and discarded if errors occur.
Frequently asked questions
What does output parsing mean?
The structured interpretation of a system or model output into an expected data format. What errors should be avoided? Treating free text with regular expressions as reliably structured or overlooking partial errors.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: