ClassifyDocumentResponse

The classes used by the document being analyzed. These are used for models trained in multi-class mode. Individual classes are mutually exclusive and each document is expected to have only a single class assigned to it. For example, an animal can be a dog or a cat, but not both at the same time.

Extraction information about the document. This field is present in the response only if your request includes the Byte parameter.

The document type for each page in the input document. This field is present in the response only if your request includes the Byte parameter.

Page-level errors that the system detected while processing the input document. The field is empty if the system encountered no errors.

The labels used in the document being analyzed. These are used for multi-label trained models. Individual labels represent different categories that are related in some manner and are not mutually exclusive. For example, a movie can be just an action movie, or it can be an action movie, a science fiction movie, and a comedy, all at the same time.

Warnings detected while processing the input document. The response includes a warning if there is a mismatch between the input document type and the model type associated with the endpoint that you specified. The response can also include warnings for individual pages that have a mismatch.