Textract / Client / analyze_expense
analyze_expense#
- Textract.Client.analyze_expense(**kwargs)#
AnalyzeExpensesynchronously analyzes an input document for financially related relationships between text.Information is returned as
ExpenseDocumentsand seperated as follows:LineItemGroups- A data set containingLineItemswhich store information about the lines of text, such as an item purchased and its price on a receipt.SummaryFields- Contains all other information a receipt, such as header information or the vendors name.
See also: AWS API Documentation
Request Syntax
response = client.analyze_expense( Document={ 'Bytes': b'bytes', 'S3Object': { 'Bucket': 'string', 'Name': 'string', 'Version': 'string' } } )
- Parameters:
Document (dict) –
[REQUIRED]
The input document, either as bytes or as an S3 object.
You pass image bytes to an Amazon Textract API operation by using the
Bytesproperty. For example, you would use theBytesproperty to pass a document loaded from a local file system. Image bytes passed by using theBytesproperty must be base64 encoded. Your code might not need to encode document file bytes if you’re using an AWS SDK to call Amazon Textract API operations.You pass images stored in an S3 bucket to an Amazon Textract API operation by using the
S3Objectproperty. Documents stored in an S3 bucket don’t need to be base64 encoded.The AWS Region for the S3 bucket that contains the S3 object must match the AWS Region that you use for Amazon Textract operations.
If you use the AWS CLI to call Amazon Textract operations, passing image bytes using the Bytes property isn’t supported. You must first upload the document to an Amazon S3 bucket, and then call the operation using the S3Object property.
For Amazon Textract to process an S3 object, the user must have permission to access the S3 object.
Bytes (bytes) –
A blob of base64-encoded document bytes. The maximum size of a document that’s provided in a blob of bytes is 5 MB. The document bytes must be in PNG or JPEG format.
If you’re using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes passed using the
Bytesfield.S3Object (dict) –
Identifies an S3 object as the document source. The maximum size of a document that’s stored in an S3 bucket is 5 MB.
Bucket (string) –
The name of the S3 bucket. Note that the # character is not valid in the file name.
Name (string) –
The file name of the input document. Synchronous operations can use image files that are in JPEG or PNG format. Asynchronous operations also support PDF and TIFF format files.
Version (string) –
If the bucket has versioning enabled, you can specify the object version.
- Return type:
dict
- Returns:
Response Syntax
{ 'DocumentMetadata': { 'Pages': 123 }, 'ExpenseDocuments': [ { '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'|'LAYOUT_TEXT'|'LAYOUT_TITLE'|'LAYOUT_HEADER'|'LAYOUT_FOOTER'|'LAYOUT_SECTION_HEADER'|'LAYOUT_PAGE_NUMBER'|'LAYOUT_LIST'|'LAYOUT_FIGURE'|'LAYOUT_TABLE'|'LAYOUT_KEY_VALUE', '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', ] } }, ] }, ] }
Response Structure
(dict) –
DocumentMetadata (dict) –
Information about the input document.
Pages (integer) –
The number of pages that are detected in the document.
ExpenseDocuments (list) –
The expenses detected by Amazon Textract.
(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
Pointobjects,Polygon, is returned by DetectDocumentText.Polygonrepresents 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
Pointobjects,Polygon, is returned by DetectDocumentText.Polygonrepresents 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
Pointobjects,Polygon, is returned by DetectDocumentText.Polygonrepresents 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
Pointobjects,Polygon, is returned by DetectDocumentText.Polygonrepresents 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
Blockrepresents items that are recognized in a document within a group of pixels close to each other. The information returned in aBlockobject 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
Blockobjects is returned by both synchronous and asynchronous operations. In synchronous operations, such as DetectDocumentText, the array ofBlockobjects 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
Blockobjects 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
Blockobjects that are detected on a document page.KEY_VALUE_SET - Stores the KEY and VALUE
Blockobjects for linked text that’s detected on a document page. Use theEntityTypefield to determine if a KEY_VALUE_SET object is a KEYBlockobject or a VALUEBlockobject.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
Relationshipsarray 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
SelectionStatusto determine the status of the selection element.SIGNATURE - The location and confidence 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.
RowIndexisn’t returned byDetectDocumentTextandGetDocumentTextDetection.ColumnIndex (integer) –
The column in which a table cell appears. The first column position is 1.
ColumnIndexisn’t returned byDetectDocumentTextandGetDocumentTextDetection.RowSpan (integer) –
The number of rows that a table cell spans.
RowSpanisn’t returned byDetectDocumentTextandGetDocumentTextDetection.ColumnSpan (integer) –
The number of columns that a table cell spans.
ColumnSpanisn’t returned byDetectDocumentTextandGetDocumentTextDetection.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
Pointobjects,Polygon, is returned by DetectDocumentText.Polygonrepresents 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
Blockobject contains 0 or moreRelationobjects in a list,Relationships. For more information, see Block.The
Typeelement provides the type of the relationship for all blocks in theIDsarray.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
Typeelement.(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.
EntityTypesisn’t returned byDetectDocumentTextandGetDocumentTextDetection.(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.
Pageis 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 ofPageis always 1.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) –
Exceptions
Textract.Client.exceptions.InvalidParameterExceptionTextract.Client.exceptions.InvalidS3ObjectExceptionTextract.Client.exceptions.UnsupportedDocumentExceptionTextract.Client.exceptions.DocumentTooLargeExceptionTextract.Client.exceptions.BadDocumentExceptionTextract.Client.exceptions.AccessDeniedExceptionTextract.Client.exceptions.ProvisionedThroughputExceededExceptionTextract.Client.exceptions.InternalServerErrorTextract.Client.exceptions.ThrottlingException