Textract / Client / get_lending_analysis
get_lending_analysis#
- Textract.Client.get_lending_analysis(**kwargs)#
Gets the results for an Amazon Textract asynchronous operation that analyzes text in a lending document.
You start asynchronous text analysis by calling
StartLendingAnalysis
, which returns a job identifier (JobId
). When the text analysis operation finishes, Amazon Textract publishes a completion status to the Amazon Simple Notification Service (Amazon SNS) topic that’s registered in the initial call toStartLendingAnalysis
.To get the results of the text analysis operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetLendingAnalysis, and pass the job identifier (
JobId
) from the initial call toStartLendingAnalysis
.See also: AWS API Documentation
Request Syntax
response = client.get_lending_analysis( JobId='string', MaxResults=123, NextToken='string' )
- Parameters:
JobId (string) –
[REQUIRED]
A unique identifier for the lending or text-detection job. The
JobId
is returned fromStartLendingAnalysis
. AJobId
value is only valid for 7 days.MaxResults (integer) – The maximum number of results to return per paginated call. The largest value that you can specify is 30. If you specify a value greater than 30, a maximum of 30 results is returned. The default value is 30.
NextToken (string) – If the previous response was incomplete, Amazon Textract returns a pagination token in the response. You can use this pagination token to retrieve the next set of lending results.
- Return type:
dict
- Returns:
Response Syntax
{ 'DocumentMetadata': { 'Pages': 123 }, 'JobStatus': 'IN_PROGRESS'|'SUCCEEDED'|'FAILED'|'PARTIAL_SUCCESS', 'NextToken': 'string', 'Results': [ { 'Page': 123, 'PageClassification': { 'PageType': [ { 'Value': 'string', 'Confidence': ... }, ], 'PageNumber': [ { 'Value': 'string', 'Confidence': ... }, ] }, 'Extractions': [ { 'LendingDocument': { 'LendingFields': [ { 'Type': 'string', 'KeyDetection': { 'Text': 'string', 'SelectionStatus': 'SELECTED'|'NOT_SELECTED', 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Confidence': ... }, 'ValueDetections': [ { 'Text': 'string', 'SelectionStatus': 'SELECTED'|'NOT_SELECTED', 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Confidence': ... }, ] }, ], 'SignatureDetections': [ { 'Confidence': ..., 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] } }, ] }, 'ExpenseDocument': { 'ExpenseIndex': 123, 'SummaryFields': [ { 'Type': { 'Text': 'string', 'Confidence': ... }, 'LabelDetection': { 'Text': 'string', 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Confidence': ... }, 'ValueDetection': { 'Text': 'string', 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Confidence': ... }, 'PageNumber': 123, 'Currency': { 'Code': 'string', 'Confidence': ... }, 'GroupProperties': [ { 'Types': [ 'string', ], 'Id': 'string' }, ] }, ], 'LineItemGroups': [ { 'LineItemGroupIndex': 123, 'LineItems': [ { 'LineItemExpenseFields': [ { 'Type': { 'Text': 'string', 'Confidence': ... }, 'LabelDetection': { 'Text': 'string', 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Confidence': ... }, 'ValueDetection': { 'Text': 'string', 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Confidence': ... }, 'PageNumber': 123, 'Currency': { 'Code': 'string', 'Confidence': ... }, 'GroupProperties': [ { 'Types': [ 'string', ], 'Id': 'string' }, ] }, ] }, ] }, ], 'Blocks': [ { 'BlockType': 'KEY_VALUE_SET'|'PAGE'|'LINE'|'WORD'|'TABLE'|'CELL'|'SELECTION_ELEMENT'|'MERGED_CELL'|'TITLE'|'QUERY'|'QUERY_RESULT'|'SIGNATURE'|'TABLE_TITLE'|'TABLE_FOOTER', 'Confidence': ..., 'Text': 'string', 'TextType': 'HANDWRITING'|'PRINTED', 'RowIndex': 123, 'ColumnIndex': 123, 'RowSpan': 123, 'ColumnSpan': 123, 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Id': 'string', 'Relationships': [ { 'Type': 'VALUE'|'CHILD'|'COMPLEX_FEATURES'|'MERGED_CELL'|'TITLE'|'ANSWER'|'TABLE'|'TABLE_TITLE'|'TABLE_FOOTER', 'Ids': [ 'string', ] }, ], 'EntityTypes': [ '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': { 'Text': 'string', 'Alias': 'string', 'Pages': [ 'string', ] } }, ] }, 'IdentityDocument': { 'DocumentIndex': 123, 'IdentityDocumentFields': [ { 'Type': { 'Text': 'string', 'NormalizedValue': { 'Value': 'string', 'ValueType': 'DATE' }, 'Confidence': ... }, 'ValueDetection': { 'Text': 'string', 'NormalizedValue': { 'Value': 'string', 'ValueType': 'DATE' }, 'Confidence': ... } }, ], 'Blocks': [ { 'BlockType': 'KEY_VALUE_SET'|'PAGE'|'LINE'|'WORD'|'TABLE'|'CELL'|'SELECTION_ELEMENT'|'MERGED_CELL'|'TITLE'|'QUERY'|'QUERY_RESULT'|'SIGNATURE'|'TABLE_TITLE'|'TABLE_FOOTER', 'Confidence': ..., 'Text': 'string', 'TextType': 'HANDWRITING'|'PRINTED', 'RowIndex': 123, 'ColumnIndex': 123, 'RowSpan': 123, 'ColumnSpan': 123, 'Geometry': { 'BoundingBox': { 'Width': ..., 'Height': ..., 'Left': ..., 'Top': ... }, 'Polygon': [ { 'X': ..., 'Y': ... }, ] }, 'Id': 'string', 'Relationships': [ { 'Type': 'VALUE'|'CHILD'|'COMPLEX_FEATURES'|'MERGED_CELL'|'TITLE'|'ANSWER'|'TABLE'|'TABLE_TITLE'|'TABLE_FOOTER', 'Ids': [ 'string', ] }, ], 'EntityTypes': [ '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': { 'Text': 'string', 'Alias': 'string', 'Pages': [ 'string', ] } }, ] } }, ] }, ], 'Warnings': [ { 'ErrorCode': 'string', 'Pages': [ 123, ] }, ], 'StatusMessage': 'string', 'AnalyzeLendingModelVersion': 'string' }
Response Structure
(dict) –
DocumentMetadata (dict) –
Information about the input document.
Pages (integer) –
The number of pages that are detected in the document.
JobStatus (string) –
The current status of the lending analysis job.
NextToken (string) –
If the response is truncated, Amazon Textract returns this token. You can use this token in the subsequent request to retrieve the next set of lending results.
Results (list) –
Holds the information returned by one of AmazonTextract’s document analysis operations for the pinstripe.
(dict) –
Contains the detections for each page analyzed through the Analyze Lending API.
Page (integer) –
The page number for a page, with regard to whole submission.
PageClassification (dict) –
The classifier result for a given page.
PageType (list) –
The class, or document type, assigned to a detected Page object. The class, or document type, assigned to a detected Page object.
(dict) –
Contains information regarding predicted values returned by Amazon Textract operations, including the predicted value and the confidence in the predicted value.
Value (string) –
The predicted value of a detected object.
Confidence (float) –
Amazon Textract’s confidence in its predicted value.
PageNumber (list) –
The page number the value was detected on, relative to Amazon Textract’s starting position.
(dict) –
Contains information regarding predicted values returned by Amazon Textract operations, including the predicted value and the confidence in the predicted value.
Value (string) –
The predicted value of a detected object.
Confidence (float) –
Amazon Textract’s confidence in its predicted value.
Extractions (list) –
An array of Extraction to hold structured data. e.g. normalized key value pairs instead of raw OCR detections .
(dict) –
Contains information extracted by an analysis operation after using StartLendingAnalysis.
LendingDocument (dict) –
Holds the structured data returned by AnalyzeDocument for lending documents.
LendingFields (list) –
An array of LendingField objects.
(dict) –
Holds the normalized key-value pairs returned by AnalyzeDocument, including the document type, detected text, and geometry.
Type (string) –
The type of the lending document.
KeyDetection (dict) –
The results extracted for a lending document.
Text (string) –
The text extracted for a detected value in a lending document.
SelectionStatus (string) –
The selection status of a selection element, such as an option button or check box.
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Confidence (float) –
The confidence level for the text of a detected value in a lending document.
ValueDetections (list) –
An array of LendingDetection objects.
(dict) –
The results extracted for a lending document.
Text (string) –
The text extracted for a detected value in a lending document.
SelectionStatus (string) –
The selection status of a selection element, such as an option button or check box.
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Confidence (float) –
The confidence level for the text of a detected value in a lending document.
SignatureDetections (list) –
A list of signatures detected in a lending document.
(dict) –
Information regarding a detected signature on a page.
Confidence (float) –
The confidence, from 0 to 100, in the predicted values for a detected signature.
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
ExpenseDocument (dict) –
The structure holding all the information returned by AnalyzeExpense
ExpenseIndex (integer) –
Denotes which invoice or receipt in the document the information is coming from. First document will be 1, the second 2, and so on.
SummaryFields (list) –
Any information found outside of a table by Amazon Textract.
(dict) –
Breakdown of detected information, seperated into the catagories Type, LabelDetection, and ValueDetection
Type (dict) –
The implied label of a detected element. Present alongside LabelDetection for explicit elements.
Text (string) –
The word or line of text detected by Amazon Textract.
Confidence (float) –
The confidence of accuracy, as a percentage.
LabelDetection (dict) –
The explicitly stated label of a detected element.
Text (string) –
The word or line of text recognized by Amazon Textract
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Confidence (float) –
The confidence in detection, as a percentage
ValueDetection (dict) –
The value of a detected element. Present in explicit and implicit elements.
Text (string) –
The word or line of text recognized by Amazon Textract
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Confidence (float) –
The confidence in detection, as a percentage
PageNumber (integer) –
The page number the value was detected on.
Currency (dict) –
Shows the kind of currency, both the code and confidence associated with any monatary value detected.
Code (string) –
Currency code for detected currency. the current supported codes are:
USD
EUR
GBP
CAD
INR
JPY
CHF
AUD
CNY
BZR
SEK
HKD
Confidence (float) –
Percentage confideence in the detected currency.
GroupProperties (list) –
Shows which group a response object belongs to, such as whether an address line belongs to the vendor’s address or the recipent’s address.
(dict) –
Shows the group that a certain key belongs to. This helps differentiate between names and addresses for different organizations, that can be hard to determine via JSON response.
Types (list) –
Informs you on whether the expense group is a name or an address.
(string) –
Id (string) –
Provides a group Id number, which will be the same for each in the group.
LineItemGroups (list) –
Information detected on each table of a document, seperated into
LineItems
.(dict) –
A grouping of tables which contain LineItems, with each table identified by the table’s
LineItemGroupIndex
.LineItemGroupIndex (integer) –
The number used to identify a specific table in a document. The first table encountered will have a LineItemGroupIndex of 1, the second 2, etc.
LineItems (list) –
The breakdown of information on a particular line of a table.
(dict) –
A structure that holds information about the different lines found in a document’s tables.
LineItemExpenseFields (list) –
ExpenseFields used to show information from detected lines on a table.
(dict) –
Breakdown of detected information, seperated into the catagories Type, LabelDetection, and ValueDetection
Type (dict) –
The implied label of a detected element. Present alongside LabelDetection for explicit elements.
Text (string) –
The word or line of text detected by Amazon Textract.
Confidence (float) –
The confidence of accuracy, as a percentage.
LabelDetection (dict) –
The explicitly stated label of a detected element.
Text (string) –
The word or line of text recognized by Amazon Textract
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Confidence (float) –
The confidence in detection, as a percentage
ValueDetection (dict) –
The value of a detected element. Present in explicit and implicit elements.
Text (string) –
The word or line of text recognized by Amazon Textract
Geometry (dict) –
Information about where the following items are located on a document page: detected page, text, key-value pairs, tables, table cells, and selection elements.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Confidence (float) –
The confidence in detection, as a percentage
PageNumber (integer) –
The page number the value was detected on.
Currency (dict) –
Shows the kind of currency, both the code and confidence associated with any monatary value detected.
Code (string) –
Currency code for detected currency. the current supported codes are:
USD
EUR
GBP
CAD
INR
JPY
CHF
AUD
CNY
BZR
SEK
HKD
Confidence (float) –
Percentage confideence in the detected currency.
GroupProperties (list) –
Shows which group a response object belongs to, such as whether an address line belongs to the vendor’s address or the recipent’s address.
(dict) –
Shows the group that a certain key belongs to. This helps differentiate between names and addresses for different organizations, that can be hard to determine via JSON response.
Types (list) –
Informs you on whether the expense group is a name or an address.
(string) –
Id (string) –
Provides a group Id number, which will be the same for each in the group.
Blocks (list) –
This is a block object, the same as reported when DetectDocumentText is run on a document. It provides word level recognition of text.
(dict) –
A
Block
represents items that are recognized in a document within a group of pixels close to each other. The information returned in aBlock
object depends on the type of operation. In text detection for documents (for example DetectDocumentText), you get information about the detected words and lines of text. In text analysis (for example AnalyzeDocument), you can also get information about the fields, tables, and selection elements that are detected in the document.An array of
Block
objects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText, the array ofBlock
objects is the entire set of results. In asynchronous operations, such as GetDocumentAnalysis, the array is returned over one or more responses.For more information, see How Amazon Textract Works.
BlockType (string) –
The type of text item that’s recognized. In operations for text detection, the following types are returned:
PAGE - Contains a list of the LINE
Block
objects that are detected on a document page.WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren’t separated by spaces.
LINE - A string of tab-delimited, contiguous words that are detected on a document page.
In text analysis operations, the following types are returned:
PAGE - Contains a list of child
Block
objects that are detected on a document page.KEY_VALUE_SET - Stores the KEY and VALUE
Block
objects for linked text that’s detected on a document page. Use theEntityType
field to determine if a KEY_VALUE_SET object is a KEYBlock
object or a VALUEBlock
object.WORD - A word that’s detected on a document page. A word is one or more ISO basic Latin script characters that aren’t separated by spaces.
LINE - A string of tab-delimited, contiguous words that are detected on a document page.
TABLE - A table that’s detected on a document page. A table is grid-based information with two or more rows or columns, with a cell span of one row and one column each.
TABLE_TITLE - The title of a table. A title is typically a line of text above or below a table, or embedded as the first row of a table.
TABLE_FOOTER - The footer associated with a table. A footer is typically a line or lines of text below a table or embedded as the last row of a table.
CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
MERGED_CELL - A cell in a table whose content spans more than one row or column. The
Relationships
array for this cell contain data from individual cells.SELECTION_ELEMENT - A selection element such as an option button (radio button) or a check box that’s detected on a document page. Use the value of
SelectionStatus
to determine the status of the selection element.SIGNATURE - The location and confidene score of a signature detected on a document page. Can be returned as part of a Key-Value pair or a detected cell.
QUERY - A question asked during the call of AnalyzeDocument. Contains an alias and an ID that attaches it to its answer.
QUERY_RESULT - A response to a question asked during the call of analyze document. Comes with an alias and ID for ease of locating in a response. Also contains location and confidence score.
Confidence (float) –
The confidence score that Amazon Textract has in the accuracy of the recognized text and the accuracy of the geometry points around the recognized text.
Text (string) –
The word or line of text that’s recognized by Amazon Textract.
TextType (string) –
The kind of text that Amazon Textract has detected. Can check for handwritten text and printed text.
RowIndex (integer) –
The row in which a table cell is located. The first row position is 1.
RowIndex
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.ColumnIndex (integer) –
The column in which a table cell appears. The first column position is 1.
ColumnIndex
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.RowSpan (integer) –
The number of rows that a table cell spans.
RowSpan
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.ColumnSpan (integer) –
The number of columns that a table cell spans.
ColumnSpan
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.Geometry (dict) –
The location of the recognized text on the image. It includes an axis-aligned, coarse bounding box that surrounds the text, and a finer-grain polygon for more accurate spatial information.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Id (string) –
The identifier for the recognized text. The identifier is only unique for a single operation.
Relationships (list) –
A list of relationship objects that describe how blocks are related to each other. For example, a LINE block object contains a CHILD relationship type with the WORD blocks that make up the line of text. There aren’t Relationship objects in the list for relationships that don’t exist, such as when the current block has no child blocks.
(dict) –
Information about how blocks are related to each other. A
Block
object contains 0 or moreRelation
objects in a list,Relationships
. For more information, see Block.The
Type
element provides the type of the relationship for all blocks in theIDs
array.Type (string) –
The type of relationship between the blocks in the IDs array and the current block. The following list describes the relationship types that can be returned.
VALUE - A list that contains the ID of the VALUE block that’s associated with the KEY of a key-value pair.
CHILD - A list of IDs that identify blocks found within the current block object. For example, WORD blocks have a CHILD relationship to the LINE block type.
MERGED_CELL - A list of IDs that identify each of the MERGED_CELL block types in a table.
ANSWER - A list that contains the ID of the QUERY_RESULT block that’s associated with the corresponding QUERY block.
TABLE - A list of IDs that identify associated TABLE block types.
TABLE_TITLE - A list that contains the ID for the TABLE_TITLE block type in a table.
TABLE_FOOTER - A list of IDs that identify the TABLE_FOOTER block types in a table.
Ids (list) –
An array of IDs for related blocks. You can get the type of the relationship from the
Type
element.(string) –
EntityTypes (list) –
The type of entity.
The following entity types can be returned by FORMS analysis:
KEY - An identifier for a field on the document.
VALUE - The field text.
The following entity types can be returned by TABLES analysis:
COLUMN_HEADER - Identifies a cell that is a header of a column.
TABLE_TITLE - Identifies a cell that is a title within the table.
TABLE_SECTION_TITLE - Identifies a cell that is a title of a section within a table. A section title is a cell that typically spans an entire row above a section.
TABLE_FOOTER - Identifies a cell that is a footer of a table.
TABLE_SUMMARY - Identifies a summary cell of a table. A summary cell can be a row of a table or an additional, smaller table that contains summary information for another table.
STRUCTURED_TABLE - Identifies a table with column headers where the content of each row corresponds to the headers.
SEMI_STRUCTURED_TABLE - Identifies a non-structured table.
EntityTypes
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.(string) –
SelectionStatus (string) –
The selection status of a selection element, such as an option button or check box.
Page (integer) –
The page on which a block was detected.
Page
is returned by synchronous and asynchronous operations. Page values greater than 1 are only returned for multipage documents that are in PDF or TIFF format. A scanned image (JPEG/PNG) provided to an asynchronous operation, even if it contains multiple document pages, is considered a single-page document. This means that for scanned images the value ofPage
is always 1. Synchronous operations will also return aPage
value of 1 because every input document is considered to be a single-page document.Query (dict) –
Text (string) –
Question that Amazon Textract will apply to the document. An example would be “What is the customer’s SSN?”
Alias (string) –
Alias attached to the query, for ease of location.
Pages (list) –
Pages is a parameter that the user inputs to specify which pages to apply a query to. The following is a list of rules for using this parameter.
If a page is not specified, it is set to
["1"]
by default.The following characters are allowed in the parameter’s string:
0 1 2 3 4 5 6 7 8 9 - *
. No whitespace is allowed.When using * to indicate all pages, it must be the only element in the list.
You can use page intervals, such as
[“1-3”, “1-1”, “4-*”]
. Where*
indicates last page of document.Specified pages must be greater than 0 and less than or equal to the number of pages in the document.
(string) –
IdentityDocument (dict) –
The structure that lists each document processed in an AnalyzeID operation.
DocumentIndex (integer) –
Denotes the placement of a document in the IdentityDocument list. The first document is marked 1, the second 2 and so on.
IdentityDocumentFields (list) –
The structure used to record information extracted from identity documents. Contains both normalized field and value of the extracted text.
(dict) –
Structure containing both the normalized type of the extracted information and the text associated with it. These are extracted as Type and Value respectively.
Type (dict) –
Used to contain the information detected by an AnalyzeID operation.
Text (string) –
Text of either the normalized field or value associated with it.
NormalizedValue (dict) –
Only returned for dates, returns the type of value detected and the date written in a more machine readable way.
Value (string) –
The value of the date, written as Year-Month-DayTHour:Minute:Second.
ValueType (string) –
The normalized type of the value detected. In this case, DATE.
Confidence (float) –
The confidence score of the detected text.
ValueDetection (dict) –
Used to contain the information detected by an AnalyzeID operation.
Text (string) –
Text of either the normalized field or value associated with it.
NormalizedValue (dict) –
Only returned for dates, returns the type of value detected and the date written in a more machine readable way.
Value (string) –
The value of the date, written as Year-Month-DayTHour:Minute:Second.
ValueType (string) –
The normalized type of the value detected. In this case, DATE.
Confidence (float) –
The confidence score of the detected text.
Blocks (list) –
Individual word recognition, as returned by document detection.
(dict) –
A
Block
represents items that are recognized in a document within a group of pixels close to each other. The information returned in aBlock
object depends on the type of operation. In text detection for documents (for example DetectDocumentText), you get information about the detected words and lines of text. In text analysis (for example AnalyzeDocument), you can also get information about the fields, tables, and selection elements that are detected in the document.An array of
Block
objects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText, the array ofBlock
objects is the entire set of results. In asynchronous operations, such as GetDocumentAnalysis, the array is returned over one or more responses.For more information, see How Amazon Textract Works.
BlockType (string) –
The type of text item that’s recognized. In operations for text detection, the following types are returned:
PAGE - Contains a list of the LINE
Block
objects that are detected on a document page.WORD - A word detected on a document page. A word is one or more ISO basic Latin script characters that aren’t separated by spaces.
LINE - A string of tab-delimited, contiguous words that are detected on a document page.
In text analysis operations, the following types are returned:
PAGE - Contains a list of child
Block
objects that are detected on a document page.KEY_VALUE_SET - Stores the KEY and VALUE
Block
objects for linked text that’s detected on a document page. Use theEntityType
field to determine if a KEY_VALUE_SET object is a KEYBlock
object or a VALUEBlock
object.WORD - A word that’s detected on a document page. A word is one or more ISO basic Latin script characters that aren’t separated by spaces.
LINE - A string of tab-delimited, contiguous words that are detected on a document page.
TABLE - A table that’s detected on a document page. A table is grid-based information with two or more rows or columns, with a cell span of one row and one column each.
TABLE_TITLE - The title of a table. A title is typically a line of text above or below a table, or embedded as the first row of a table.
TABLE_FOOTER - The footer associated with a table. A footer is typically a line or lines of text below a table or embedded as the last row of a table.
CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
MERGED_CELL - A cell in a table whose content spans more than one row or column. The
Relationships
array for this cell contain data from individual cells.SELECTION_ELEMENT - A selection element such as an option button (radio button) or a check box that’s detected on a document page. Use the value of
SelectionStatus
to determine the status of the selection element.SIGNATURE - The location and confidene score of a signature detected on a document page. Can be returned as part of a Key-Value pair or a detected cell.
QUERY - A question asked during the call of AnalyzeDocument. Contains an alias and an ID that attaches it to its answer.
QUERY_RESULT - A response to a question asked during the call of analyze document. Comes with an alias and ID for ease of locating in a response. Also contains location and confidence score.
Confidence (float) –
The confidence score that Amazon Textract has in the accuracy of the recognized text and the accuracy of the geometry points around the recognized text.
Text (string) –
The word or line of text that’s recognized by Amazon Textract.
TextType (string) –
The kind of text that Amazon Textract has detected. Can check for handwritten text and printed text.
RowIndex (integer) –
The row in which a table cell is located. The first row position is 1.
RowIndex
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.ColumnIndex (integer) –
The column in which a table cell appears. The first column position is 1.
ColumnIndex
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.RowSpan (integer) –
The number of rows that a table cell spans.
RowSpan
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.ColumnSpan (integer) –
The number of columns that a table cell spans.
ColumnSpan
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.Geometry (dict) –
The location of the recognized text on the image. It includes an axis-aligned, coarse bounding box that surrounds the text, and a finer-grain polygon for more accurate spatial information.
BoundingBox (dict) –
An axis-aligned coarse representation of the location of the recognized item on the document page.
Width (float) –
The width of the bounding box as a ratio of the overall document page width.
Height (float) –
The height of the bounding box as a ratio of the overall document page height.
Left (float) –
The left coordinate of the bounding box as a ratio of overall document page width.
Top (float) –
The top coordinate of the bounding box as a ratio of overall document page height.
Polygon (list) –
Within the bounding box, a fine-grained polygon around the recognized item.
(dict) –
The X and Y coordinates of a point on a document page. The X and Y values that are returned are ratios of the overall document page size. For example, if the input document is 700 x 200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the document page.
An array of
Point
objects,Polygon
, is returned by DetectDocumentText.Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Textract Developer Guide.X (float) –
The value of the X coordinate for a point on a
Polygon
.Y (float) –
The value of the Y coordinate for a point on a
Polygon
.
Id (string) –
The identifier for the recognized text. The identifier is only unique for a single operation.
Relationships (list) –
A list of relationship objects that describe how blocks are related to each other. For example, a LINE block object contains a CHILD relationship type with the WORD blocks that make up the line of text. There aren’t Relationship objects in the list for relationships that don’t exist, such as when the current block has no child blocks.
(dict) –
Information about how blocks are related to each other. A
Block
object contains 0 or moreRelation
objects in a list,Relationships
. For more information, see Block.The
Type
element provides the type of the relationship for all blocks in theIDs
array.Type (string) –
The type of relationship between the blocks in the IDs array and the current block. The following list describes the relationship types that can be returned.
VALUE - A list that contains the ID of the VALUE block that’s associated with the KEY of a key-value pair.
CHILD - A list of IDs that identify blocks found within the current block object. For example, WORD blocks have a CHILD relationship to the LINE block type.
MERGED_CELL - A list of IDs that identify each of the MERGED_CELL block types in a table.
ANSWER - A list that contains the ID of the QUERY_RESULT block that’s associated with the corresponding QUERY block.
TABLE - A list of IDs that identify associated TABLE block types.
TABLE_TITLE - A list that contains the ID for the TABLE_TITLE block type in a table.
TABLE_FOOTER - A list of IDs that identify the TABLE_FOOTER block types in a table.
Ids (list) –
An array of IDs for related blocks. You can get the type of the relationship from the
Type
element.(string) –
EntityTypes (list) –
The type of entity.
The following entity types can be returned by FORMS analysis:
KEY - An identifier for a field on the document.
VALUE - The field text.
The following entity types can be returned by TABLES analysis:
COLUMN_HEADER - Identifies a cell that is a header of a column.
TABLE_TITLE - Identifies a cell that is a title within the table.
TABLE_SECTION_TITLE - Identifies a cell that is a title of a section within a table. A section title is a cell that typically spans an entire row above a section.
TABLE_FOOTER - Identifies a cell that is a footer of a table.
TABLE_SUMMARY - Identifies a summary cell of a table. A summary cell can be a row of a table or an additional, smaller table that contains summary information for another table.
STRUCTURED_TABLE - Identifies a table with column headers where the content of each row corresponds to the headers.
SEMI_STRUCTURED_TABLE - Identifies a non-structured table.
EntityTypes
isn’t returned byDetectDocumentText
andGetDocumentTextDetection
.(string) –
SelectionStatus (string) –
The selection status of a selection element, such as an option button or check box.
Page (integer) –
The page on which a block was detected.
Page
is returned by synchronous and asynchronous operations. Page values greater than 1 are only returned for multipage documents that are in PDF or TIFF format. A scanned image (JPEG/PNG) provided to an asynchronous operation, even if it contains multiple document pages, is considered a single-page document. This means that for scanned images the value ofPage
is always 1. Synchronous operations will also return aPage
value of 1 because every input document is considered to be a single-page document.Query (dict) –
Text (string) –
Question that Amazon Textract will apply to the document. An example would be “What is the customer’s SSN?”
Alias (string) –
Alias attached to the query, for ease of location.
Pages (list) –
Pages is a parameter that the user inputs to specify which pages to apply a query to. The following is a list of rules for using this parameter.
If a page is not specified, it is set to
["1"]
by default.The following characters are allowed in the parameter’s string:
0 1 2 3 4 5 6 7 8 9 - *
. No whitespace is allowed.When using * to indicate all pages, it must be the only element in the list.
You can use page intervals, such as
[“1-3”, “1-1”, “4-*”]
. Where*
indicates last page of document.Specified pages must be greater than 0 and less than or equal to the number of pages in the document.
(string) –
Warnings (list) –
A list of warnings that occurred during the lending analysis operation.
(dict) –
A warning about an issue that occurred during asynchronous text analysis ( StartDocumentAnalysis) or asynchronous document text detection ( StartDocumentTextDetection).
ErrorCode (string) –
The error code for the warning.
Pages (list) –
A list of the pages that the warning applies to.
(integer) –
StatusMessage (string) –
Returns if the lending analysis job could not be completed. Contains explanation for what error occurred.
AnalyzeLendingModelVersion (string) –
The current model version of the Analyze Lending API.
Exceptions
Textract.Client.exceptions.InvalidParameterException
Textract.Client.exceptions.AccessDeniedException
Textract.Client.exceptions.ProvisionedThroughputExceededException
Textract.Client.exceptions.InvalidJobIdException
Textract.Client.exceptions.InternalServerError
Textract.Client.exceptions.ThrottlingException
Textract.Client.exceptions.InvalidS3ObjectException
Textract.Client.exceptions.InvalidKMSKeyException