Characteristic extraction is the process of identifying and capturing product or process characteristics from engineering drawings, 3D models, specifications, or related technical documents so they can be managed as structured inspection or quality data.
In manufacturing quality workflows, the extracted characteristics commonly include dimensions, tolerances, GD&T requirements, material requirements, process notes, surface finishes, and other verifiable requirements. The output is often used for ballooning, inspection planning, first article inspection, AS9102 form population, traceability records, and revision impact analysis.
Characteristic extraction may be performed manually, semi-automatically, or with software that reads drawings and documents. It does not by itself determine whether a part conforms. Acceptance decisions, interpretation of ambiguous requirements, and nonconformance handling still require appropriate review within the applicable quality process.
The term should not be confused with machine learning feature extraction, which refers to deriving input features from data for analytics or modeling. In this context, characteristic extraction refers to manufacturing and inspection requirements taken from technical product definition.