Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.
You start asynchronous text analysis by calling StartDocumentAnalysis , 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 to StartDocumentAnalysis
. To get the results of the text-detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED
. If so, call GetDocumentAnalysis
, and pass the job identifier (JobId
) from the initial call to StartDocumentAnalysis
.
GetDocumentAnalysis
returns an array of Block objects. The following types of information are returned:
KEY_VALUE_SET
: a KEY Block
object and a VALUE Block
object. For example, Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva Carolina is the value.Block
object contains information about a detected table. A CELL Block
object is returned for each cell in a table.Block
object contains one or more WORD Block
objects. All lines and words that are detected in the document are returned (including text that doesn’t have a relationship with the value of the StartDocumentAnalysis
FeatureTypes
input parameter).INVALID_REQUEST_PARAMETERS
output. This indicates that either the per page query limit has been exceeded or that the operation is trying to query a page in the document which doesn’t exist.Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in tables. A SELECTION_ELEMENT Block
object contains information about a selection element, including the selection status.
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 GetDocumentAnalysis
, and populate the NextToken
request parameter with the token value that’s returned from the previous call to GetDocumentAnalysis
.
For more information, see Document Text Analysis .
See also: AWS API Documentation
get-document-analysis
--job-id <value>
[--max-results <value>]
[--next-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--job-id
(string)
A unique identifier for the text-detection job. TheJobId
is returned fromStartDocumentAnalysis
. AJobId
value is only valid for 7 days.
--max-results
(integer)
The maximum number of results to return per paginated call. The largest value that you can specify is 1,000. If you specify a value greater than 1,000, a maximum of 1,000 results is returned. The default value is 1,000.
--next-token
(string)
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.
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command’s default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format
(string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb://
will always be treated as binary and use the file contents directly regardless of the cli-binary-format
setting. When using file://
the file contents will need to properly formatted for the configured cli-binary-format
.
--no-cli-pager
(boolean)
Disable cli pager for output.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt
(boolean)
Disable automatically prompt for CLI input parameters.
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To get the results of asynchronous text analysis of a multi-page document
The following get-document-analysis
example shows how to get the results of asynchronous text analysis of a multi-page document.
aws textract get-document-analysis \
--job-id df7cf32ebbd2a5de113535fcf4d921926a701b09b4e7d089f3aebadb41e0712b \
--max-results 1000
Output:
{
"Blocks": [
{
"Geometry": {
"BoundingBox": {
"Width": 1.0,
"Top": 0.0,
"Left": 0.0,
"Height": 1.0
},
"Polygon": [
{
"Y": 0.0,
"X": 0.0
},
{
"Y": 0.0,
"X": 1.0
},
{
"Y": 1.0,
"X": 1.0
},
{
"Y": 1.0,
"X": 0.0
}
]
},
"Relationships": [
{
"Type": "CHILD",
"Ids": [
"75966e64-81c2-4540-9649-d66ec341cd8f",
"bb099c24-8282-464c-a179-8a9fa0a057f0",
"5ebf522d-f9e4-4dc7-bfae-a288dc094595"
]
}
],
"BlockType": "PAGE",
"Id": "247c28ee-b63d-4aeb-9af0-5f7ea8ba109e",
"Page": 1
}
],
"NextToken": "cY1W3eTFvoB0cH7YrKVudI4Gb0H8J0xAYLo8xI/JunCIPWCthaKQ+07n/ElyutsSy0+1VOImoTRmP1zw4P0RFtaeV9Bzhnfedpx1YqwB4xaGDA==",
"DocumentMetadata": {
"Pages": 1
},
"JobStatus": "SUCCEEDED"
}
For more information, see Detecting and Analyzing Text in Multi-Page Documents in the Amazon Textract Developers Guide
DocumentMetadata -> (structure)
Information about a document that Amazon Textract processed.
DocumentMetadata
is returned in every page of paginated responses from an Amazon Textract video operation.Pages -> (integer)
The number of pages that are detected in the document.
JobStatus -> (string)
The current status of the text detection 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 text detection results.
Blocks -> (list)
The results of the text-analysis operation.
(structure)
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 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.
The following BlockTypes are only returned for Amazon Textract Layout.
LAYOUT_TITLE
- The main title of the document.LAYOUT_HEADER
- Text located in the top margin of the document.LAYOUT_FOOTER
- Text located in the bottom margin of the document.LAYOUT_SECTION_HEADER
- The titles of sections within a document.LAYOUT_PAGE_NUMBER
- The page number of the documents.LAYOUT_LIST
- Any information grouped together in list form.LAYOUT_FIGURE
- Indicates the location of an image in a document.LAYOUT_TABLE
- Indicates the location of a table in the document.LAYOUT_KEY_VALUE
- Indicates the location of form key-values in a document.LAYOUT_TEXT
- Text that is present typically as a part of paragraphs in documents.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 -> (structure)
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 -> (structure)
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.
(structure)
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 aPolygon
.Y -> (float)
The value of the Y coordinate for a point on aPolygon
.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.
(structure)
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.Query -> (structure)
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 document-analysis operation.
(structure)
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 detection job could not be completed. Contains explanation for what error occured.
AnalyzeDocumentModelVersion -> (string)