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[ aws . textract ]

detect-document-text

Description

Detects text in the input document. Amazon Textract can detect lines of text and the words that make up a line of text. The input document must be an image in JPG or PNG format. DetectDocumentText returns the detected text in an array of Block objects.

Each document page has as an associated Block of type PAGE. Each PAGE Block object is the parent of LINE Block objects that represent the lines of detected text on a page. A LINE Block object is a parent for each word that makes up the line. Words are represented by Block objects of type WORD.

DetectDocumentText is a synchronous operation. To analyze documents asynchronously, use StartDocumentTextDetection .

For more information, see Document Text Detection .

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  detect-document-text
--document <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--document (structure)

The input document as base64-encoded bytes or an Amazon S3 object. If you use the AWS CLI to call Amazon Textract operations, you can't pass image bytes. The document must be an image in JPG or PNG format.

If you are using an AWS SDK to call Amazon Textract, you might not need to base64-encode image bytes passed using the Bytes field.

Shorthand Syntax:

Bytes=blob,S3Object={Bucket=string,Name=string,Version=string}

JSON Syntax:

{
  "Bytes": blob,
  "S3Object": {
    "Bucket": "string",
    "Name": "string",
    "Version": "string"
  }
}

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Examples

To detect text in a document

The following detect-document-text The following example shows how to detect text in a document.

aws textract detect-document-text --document '{"S3Object":{"Bucket":"bucket","Name":"document"}}'

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": [
                        "896a9f10-9e70-4412-81ce-49ead73ed881",
                        "0da18623-dc4c-463d-a3d1-9ac050e9e720",
                        "167338d7-d38c-4760-91f1-79a8ec457bb2"
                    ]
                }
            ],
            "BlockType": "PAGE",
            "Id": "21f0535e-60d5-4bc7-adf2-c05dd851fa25"
        },
        {
            "Relationships": [
                {
                    "Type": "CHILD",
                    "Ids": [
                        "62490c26-37ea-49fa-8034-7a9ff9369c9c",
                        "1e4f3f21-05bd-4da9-ba10-15d01e66604c"
                    ]
                }
            ],
            "Confidence": 89.11581420898438,
            "Geometry": {
                "BoundingBox": {
                    "Width": 0.33642634749412537,
                    "Top": 0.17169663310050964,
                    "Left": 0.13885067403316498,
                    "Height": 0.49159330129623413
                },
                "Polygon": [
                    {
                        "Y": 0.17169663310050964,
                        "X": 0.13885067403316498
                    },
                    {
                        "Y": 0.17169663310050964,
                        "X": 0.47527703642845154
                    },
                    {
                        "Y": 0.6632899641990662,
                        "X": 0.47527703642845154
                    },
                    {
                        "Y": 0.6632899641990662,
                        "X": 0.13885067403316498
                    }
                ]
            },
            "Text": "He llo,",
            "BlockType": "LINE",
            "Id": "896a9f10-9e70-4412-81ce-49ead73ed881"
        },
        {
            "Relationships": [
                {
                    "Type": "CHILD",
                    "Ids": [
                        "19b28058-9516-4352-b929-64d7cef29daf"
                    ]
                }
            ],
            "Confidence": 85.5694351196289,
            "Geometry": {
                "BoundingBox": {
                    "Width": 0.33182239532470703,
                    "Top": 0.23131252825260162,
                    "Left": 0.5091826915740967,
                    "Height": 0.3766750991344452
                },
                "Polygon": [
                    {
                        "Y": 0.23131252825260162,
                        "X": 0.5091826915740967
                    },
                    {
                        "Y": 0.23131252825260162,
                        "X": 0.8410050868988037
                    },
                    {
                        "Y": 0.607987642288208,
                        "X": 0.8410050868988037
                    },
                    {
                        "Y": 0.607987642288208,
                        "X": 0.5091826915740967
                    }
                ]
            },
            "Text": "worlc",
            "BlockType": "LINE",
            "Id": "0da18623-dc4c-463d-a3d1-9ac050e9e720"
        }
    ],
    "DocumentMetadata": {
        "Pages": 1
    }
}

For more information, see Detecting Document Text with Amazon Textract in the Amazon Textract Developers Guide

Output

DocumentMetadata -> (structure)

Metadata about the document. Contains the number of pages that are detected in the document.

Pages -> (integer)

The number of pages detected in the document.

Blocks -> (list)

An array of Block objects containing the text detected in the document.

(structure)

A Block represents items that are recognized in a document within a group of pixels close to each other. The information returned in a Block depends on the type of operation. In document-text detection (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 of Block 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 that's recognized in a block. In text-detection operations, 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's 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 a field that's detected on a document page. Use the EntityType field to determine if a KEY_VALUE_SET object is a KEY Block object or a VALUE Block object.
  • 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 that's detected on a document page.
  • LINE - A string of tab-delimited, contiguous words that's detected on a document page.
  • TABLE - A table that's detected on a document page. A table is any grid-based information with 2 or more rows or columns with a cell span of 1 row and 1 column each.
  • CELL - A cell within a detected table. The cell is the parent of the block that contains the text in the cell.
  • SELECTION_ELEMENT - A selectable element such as a radio button or checkbox that's detected on a document page. Use the value of SelectionStatus to determine the status of the selection element.

Confidence -> (float)

The confidence 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.

RowIndex -> (integer)

The row in which a table cell is located. The first row position is 1. RowIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

ColumnIndex -> (integer)

The column in which a table cell appears. The first column position is 1. ColumnIndex isn't returned by DetectDocumentText and GetDocumentTextDetection .

RowSpan -> (integer)

The number of rows that a table spans. RowSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

ColumnSpan -> (integer)

The number of columns that a table cell spans. ColumnSpan isn't returned by DetectDocumentText and GetDocumentTextDetection .

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 text 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 text.

(structure)

The X and Y coordinates of a point on a document page. The X and Y values 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 child blocks of the current block. For example a LINE object has child blocks for each WORD block that's part of 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. The list size can be the following:

  • 0 - The block has no child blocks.
  • 1 - The block has child blocks.

(structure)

Information about how blocks are related to each other. A Block object contains 0 or more Relation objects in a list, Relationships . For more information, see Block .

The Type element provides the type of the relationship for all blocks in the IDs array.

Type -> (string)

The type of relationship that the blocks in the IDs array have with the current block. The relationship can be VALUE or CHILD .

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 can be returned:

  • KEY - An identifier for a field on the document.
  • VALUE - The field text.
EntityTypes isn't returned by DetectDocumentText and GetDocumentTextDetection .

(string)

SelectionStatus -> (string)

The selection status of a selectable element such as a radio button or checkbox.

Page -> (integer)

The page in which a block was detected. Page is returned by asynchronous operations. Page values greater than 1 are only returned for multi-page documents that are in PDF format. A scanned image (JPG/PNG), even if it contains multiple document pages, is always considered to be a single-page document and the value of Page is always 1. Synchronous operations don't return Page as every input document is considered to be a single-page document.