Subscription credentials which uniquely identify client subscription.
Supported Cognitive Services endpoints (protocol and hostname, for example: https://westus2.api.cognitive.microsoft.com).
The parameter options
Extract text and layout information from a given document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. Alternatively, use 'application/json' type to specify the location (Uri or local path) of the document to be analyzed.
Upload file type
.json, .pdf, .jpg, .png or .tiff type file stream.
The options parameters.
Extract text and layout information from a given document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. Alternatively, use 'application/json' type to specify the location (Uri or local path) of the document to be analyzed.
Body Parameter content-type
The options parameters.
Extract field text and semantic values from a given receipt document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. Alternatively, use 'application/json' type to specify the location (Uri or local path) of the document to be analyzed.
Upload file type
.json, .pdf, .jpg, .png or .tiff type file stream.
The options parameters.
Extract field text and semantic values from a given receipt document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. Alternatively, use 'application/json' type to specify the location (Uri or local path) of the document to be analyzed.
Body Parameter content-type
The options parameters.
Extract key-value pairs, tables, and semantic values from a given document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. Alternatively, use 'application/json' type to specify the location (Uri or local path) of the document to be analyzed.
Model identifier.
Upload file type
.json, .pdf, .jpg, .png or .tiff type file stream.
The options parameters.
Extract key-value pairs, tables, and semantic values from a given document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. Alternatively, use 'application/json' type to specify the location (Uri or local path) of the document to be analyzed.
Model identifier.
Body Parameter content-type
The options parameters.
Copy custom model stored in this resource (the source) to user specified target Form Recognizer resource.
Model identifier.
Copy request parameters.
The options parameters.
Mark model for deletion. Model artifacts will be permanently removed within a predetermined period.
Model identifier.
The options parameters.
Generate authorization to copy a model into the target Form Recognizer resource.
The options parameters.
Obtain current status and the result of the analyze form operation.
Model identifier.
Analyze operation result identifier.
The options parameters.
Track the progress and obtain the result of the analyze layout operation
Analyze operation result identifier.
The options parameters.
Track the progress and obtain the result of the analyze receipt operation.
Analyze operation result identifier.
The options parameters.
Get detailed information about a custom model.
Model identifier.
The options parameters.
Obtain current status and the result of a custom model copy operation.
Model identifier.
Copy operation result identifier.
The options parameters.
Get information about all custom models
The options parameters.
Get information about all custom models
The options parameters.
ListCustomModelsNext
The nextLink from the previous successful call to the ListCustomModels method.
The options parameters.
Create and train a custom model. The request must include a source parameter that is either an externally accessible Azure storage blob container Uri (preferably a Shared Access Signature Uri) or valid path to a data folder in a locally mounted drive. When local paths are specified, they must follow the Linux/Unix path format and be an absolute path rooted to the input mount configuration setting value e.g., if '{Mounts:Input}' configuration setting value is '/input' then a valid source path would be '/input/contosodataset'. All data to be trained is expected to be under the source folder or sub folders under it. Models are trained using documents that are of the following content type - 'application/pdf', 'image/jpeg', 'image/png', 'image/tiff'. Other type of content is ignored.
Training request parameters.
The options parameters.
Generated using TypeDoc
Initializes a new instance of the GeneratedClient class.