Get Expense Analysis

textract_get_expense_analysis

R Documentation

Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts

Description

Gets the results for an Amazon Textract asynchronous operation that analyzes invoices and receipts. Amazon Textract finds contact information, items purchased, and vendor name, from input invoices and receipts.

You start asynchronous invoice/receipt analysis by calling start_expense_analysis, which returns a job identifier (JobId). Upon completion of the invoice/receipt analysis, Amazon Textract publishes the completion status to the Amazon Simple Notification Service (Amazon SNS) topic. This topic must be registered in the initial call to start_expense_analysis. To get the results of the invoice/receipt analysis operation, first ensure that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call get_expense_analysis, and pass the job identifier (JobId) from the initial call to start_expense_analysis.

Use the MaxResults parameter to limit the number of blocks that are returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call get_expense_analysis, and populate the NextToken request parameter with the token value that's returned from the previous call to get_expense_analysis.

For more information, see Analyzing Invoices and Receipts.

Usage

textract_get_expense_analysis(JobId, MaxResults, NextToken)

Arguments

JobId

[required] A unique identifier for the text detection job. The JobId is returned from start_expense_analysis. A JobId value is only valid for 7 days.

MaxResults

The maximum number of results to return per paginated call. The largest value you can specify is 20. If you specify a value greater than 20, a maximum of 20 results is returned. The default value is 20.

NextToken

If the previous response was incomplete (because there are more blocks to retrieve), Amazon Textract returns a pagination token in the response. You can use this pagination token to retrieve the next set of blocks.

Value

A list with the following syntax:

list(
  DocumentMetadata = list(
    Pages = 123
  ),
  JobStatus = "IN_PROGRESS"|"SUCCEEDED"|"FAILED"|"PARTIAL_SUCCESS",
  NextToken = "string",
  ExpenseDocuments = list(
    list(
      ExpenseIndex = 123,
      SummaryFields = list(
        list(
          Type = list(
            Text = "string",
            Confidence = 123.0
          ),
          LabelDetection = list(
            Text = "string",
            Geometry = list(
              BoundingBox = list(
                Width = 123.0,
                Height = 123.0,
                Left = 123.0,
                Top = 123.0
              ),
              Polygon = list(
                list(
                  X = 123.0,
                  Y = 123.0
                )
              )
            ),
            Confidence = 123.0
          ),
          ValueDetection = list(
            Text = "string",
            Geometry = list(
              BoundingBox = list(
                Width = 123.0,
                Height = 123.0,
                Left = 123.0,
                Top = 123.0
              ),
              Polygon = list(
                list(
                  X = 123.0,
                  Y = 123.0
                )
              )
            ),
            Confidence = 123.0
          ),
          PageNumber = 123,
          Currency = list(
            Code = "string",
            Confidence = 123.0
          ),
          GroupProperties = list(
            list(
              Types = list(
                "string"
              ),
              Id = "string"
            )
          )
        )
      ),
      LineItemGroups = list(
        list(
          LineItemGroupIndex = 123,
          LineItems = list(
            list(
              LineItemExpenseFields = list(
                list(
                  Type = list(
                    Text = "string",
                    Confidence = 123.0
                  ),
                  LabelDetection = list(
                    Text = "string",
                    Geometry = list(
                      BoundingBox = list(
                        Width = 123.0,
                        Height = 123.0,
                        Left = 123.0,
                        Top = 123.0
                      ),
                      Polygon = list(
                        list(
                          X = 123.0,
                          Y = 123.0
                        )
                      )
                    ),
                    Confidence = 123.0
                  ),
                  ValueDetection = list(
                    Text = "string",
                    Geometry = list(
                      BoundingBox = list(
                        Width = 123.0,
                        Height = 123.0,
                        Left = 123.0,
                        Top = 123.0
                      ),
                      Polygon = list(
                        list(
                          X = 123.0,
                          Y = 123.0
                        )
                      )
                    ),
                    Confidence = 123.0
                  ),
                  PageNumber = 123,
                  Currency = list(
                    Code = "string",
                    Confidence = 123.0
                  ),
                  GroupProperties = list(
                    list(
                      Types = list(
                        "string"
                      ),
                      Id = "string"
                    )
                  )
                )
              )
            )
          )
        )
      ),
      Blocks = list(
        list(
          BlockType = "KEY_VALUE_SET"|"PAGE"|"LINE"|"WORD"|"TABLE"|"CELL"|"SELECTION_ELEMENT"|"MERGED_CELL"|"TITLE"|"QUERY"|"QUERY_RESULT"|"SIGNATURE"|"TABLE_TITLE"|"TABLE_FOOTER"|"LAYOUT_TEXT"|"LAYOUT_TITLE"|"LAYOUT_HEADER"|"LAYOUT_FOOTER"|"LAYOUT_SECTION_HEADER"|"LAYOUT_PAGE_NUMBER"|"LAYOUT_LIST"|"LAYOUT_FIGURE"|"LAYOUT_TABLE"|"LAYOUT_KEY_VALUE",
          Confidence = 123.0,
          Text = "string",
          TextType = "HANDWRITING"|"PRINTED",
          RowIndex = 123,
          ColumnIndex = 123,
          RowSpan = 123,
          ColumnSpan = 123,
          Geometry = list(
            BoundingBox = list(
              Width = 123.0,
              Height = 123.0,
              Left = 123.0,
              Top = 123.0
            ),
            Polygon = list(
              list(
                X = 123.0,
                Y = 123.0
              )
            )
          ),
          Id = "string",
          Relationships = list(
            list(
              Type = "VALUE"|"CHILD"|"COMPLEX_FEATURES"|"MERGED_CELL"|"TITLE"|"ANSWER"|"TABLE"|"TABLE_TITLE"|"TABLE_FOOTER",
              Ids = list(
                "string"
              )
            )
          ),
          EntityTypes = list(
            "KEY"|"VALUE"|"COLUMN_HEADER"|"TABLE_TITLE"|"TABLE_FOOTER"|"TABLE_SECTION_TITLE"|"TABLE_SUMMARY"|"STRUCTURED_TABLE"|"SEMI_STRUCTURED_TABLE"
          ),
          SelectionStatus = "SELECTED"|"NOT_SELECTED",
          Page = 123,
          Query = list(
            Text = "string",
            Alias = "string",
            Pages = list(
              "string"
            )
          )
        )
      )
    )
  ),
  Warnings = list(
    list(
      ErrorCode = "string",
      Pages = list(
        123
      )
    )
  ),
  StatusMessage = "string",
  AnalyzeExpenseModelVersion = "string"
)

Request syntax

svc$get_expense_analysis(
  JobId = "string",
  MaxResults = 123,
  NextToken = "string"
)