Client library for Amazon Textract
npm install --save @datafire/amazonaws_textract
let amazonaws_textract = require('@datafire/amazonaws_textract').create({
accessKeyId: "",
secretAccessKey: "",
region: ""
});
.then(data => {
console.log(data);
});
Amazon Textract detects and analyzes text in documents and converts it into machine-readable text. This is the API reference documentation for Amazon Textract.
amazonaws_textract.AnalyzeDocument({
"Document": null,
"FeatureTypes": null
}, context)
- input
object
- Document required
- Bytes
- S3Object
- Bucket
- Name
- Version
- FeatureTypes required
- items FeatureType
- HumanLoopConfig
- DataAttributes
- ContentClassifiers
- items ContentClassifier
- ContentClassifiers
- FlowDefinitionArn required
- HumanLoopName required
- DataAttributes
- Document required
- output AnalyzeDocumentResponse
amazonaws_textract.DetectDocumentText({
"Document": null
}, context)
- input
object
- Document required
- Bytes
- S3Object
- Bucket
- Name
- Version
- Document required
- output DetectDocumentTextResponse
amazonaws_textract.GetDocumentAnalysis({
"JobId": null
}, context)
- input
object
- JobId required
- MaxResults
- NextToken
- output GetDocumentAnalysisResponse
amazonaws_textract.GetDocumentTextDetection({
"JobId": null
}, context)
- input
object
- JobId required
- MaxResults
- NextToken
amazonaws_textract.StartDocumentAnalysis({
"DocumentLocation": null,
"FeatureTypes": null
}, context)
- input
object
- ClientRequestToken
- DocumentLocation required
- S3Object
- Bucket
- Name
- Version
- S3Object
- FeatureTypes required
- items FeatureType
- JobTag
- KMSKeyId
- NotificationChannel
- RoleArn required
- SNSTopicArn required
- OutputConfig
- S3Bucket required
- S3Prefix
amazonaws_textract.StartDocumentTextDetection({
"DocumentLocation": null
}, context)
- input
object
- ClientRequestToken
- DocumentLocation required
- S3Object
- Bucket
- Name
- Version
- S3Object
- JobTag
- KMSKeyId
- NotificationChannel
- RoleArn required
- SNSTopicArn required
- OutputConfig
- S3Bucket required
- S3Prefix
- AnalyzeDocumentRequest
object
- Document required
- Bytes
- S3Object
- Bucket
- Name
- Version
- FeatureTypes required
- items FeatureType
- HumanLoopConfig
- DataAttributes
- ContentClassifiers
- items ContentClassifier
- ContentClassifiers
- FlowDefinitionArn required
- HumanLoopName required
- DataAttributes
- Document required
- AnalyzeDocumentResponse
object
- AnalyzeDocumentModelVersion
- Blocks
- items Block
- DocumentMetadata
- Pages
- HumanLoopActivationOutput
- HumanLoopActivationConditionsEvaluationResults
- HumanLoopActivationReasons
- HumanLoopArn
- Block
object
: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
- ColumnIndex
- ColumnSpan
- Confidence
- EntityTypes
- items EntityType
- Geometry
- BoundingBox
- Height
- Left
- Top
- Width
- Polygon
- items Point
- BoundingBox
- Id
- Page
- Relationships
- items Relationship
- RowIndex
- RowSpan
- SelectionStatus
- Text
- TextType
- BlockList
array
- items Block
- BlockType
string
(values: KEY_VALUE_SET, PAGE, LINE, WORD, TABLE, CELL, SELECTION_ELEMENT)
- BoundingBox
object
:The bounding box around the detected page, text, key-value pair, table, table cell, or selection element on a document page. The
left
(x-coordinate) andtop
(y-coordinate) are coordinates that represent the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).The
top
andleft
values returned are ratios of the overall document page size. For example, if the input image is 700 x 200 pixels, and the top-left coordinate of the bounding box is 350 x 50 pixels, the API returns aleft
value of 0.5 (350/700) and atop
value of 0.25 (50/200).The
width
andheight
values represent the dimensions of the bounding box as a ratio of the overall document page dimension. For example, if the document page size is 700 x 200 pixels, and the bounding box width is 70 pixels, the width returned is 0.1.- Height
- Left
- Top
- Width
- ClientRequestToken
string
- ContentClassifier
string
(values: FreeOfPersonallyIdentifiableInformation, FreeOfAdultContent)
- ContentClassifiers
array
- items ContentClassifier
- DetectDocumentTextRequest
object
- Document required
- Bytes
- S3Object
- Bucket
- Name
- Version
- Document required
- DetectDocumentTextResponse
object
- Blocks
- items Block
- DetectDocumentTextModelVersion
- DocumentMetadata
- Pages
- Blocks
- Document
object
:The input document, either as bytes or as an S3 object.
You pass image bytes to an Amazon Textract API operation by using the
Bytes
property. For example, you would use theBytes
property to pass a document loaded from a local file system. Image bytes passed by using theBytes
property 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
S3Object
property. 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
- S3Object
- Bucket
- Name
- Version
- DocumentLocation
object
:The Amazon S3 bucket that contains the document to be processed. It's used by asynchronous operations such as StartDocumentTextDetection.
The input document can be an image file in JPEG or PNG format. It can also be a file in PDF format.
- S3Object
- Bucket
- Name
- Version
- S3Object
- DocumentMetadata
object
: Information about the input document.- Pages
- EntityType
string
(values: KEY, VALUE)
- EntityTypes
array
- items EntityType
- ErrorCode
string
- FeatureType
string
(values: TABLES, FORMS)
- FeatureTypes
array
- items FeatureType
- Float
number
- FlowDefinitionArn
string
- Geometry
object
: 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
- Height
- Left
- Top
- Width
- Polygon
- items Point
- BoundingBox
- GetDocumentAnalysisRequest
object
- JobId required
- MaxResults
- NextToken
- GetDocumentAnalysisResponse
object
- GetDocumentTextDetectionRequest
object
- JobId required
- MaxResults
- NextToken
- GetDocumentTextDetectionResponse
object
- HumanLoopActivationConditionsEvaluationResults
string
- HumanLoopActivationOutput
object
: Shows the results of the human in the loop evaluation. If there is no HumanLoopArn, the input did not trigger human review.- HumanLoopActivationConditionsEvaluationResults
- HumanLoopActivationReasons
- HumanLoopArn
- HumanLoopActivationReason
string
- HumanLoopActivationReasons
array
- HumanLoopArn
string
- HumanLoopConfig
object
: Sets up the human review workflow the document will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.- DataAttributes
- ContentClassifiers
- items ContentClassifier
- ContentClassifiers
- FlowDefinitionArn required
- HumanLoopName required
- DataAttributes
- HumanLoopDataAttributes
object
: Allows you to set attributes of the image. Currently, you can declare an image as free of personally identifiable information and adult content.- ContentClassifiers
- items ContentClassifier
- ContentClassifiers
- HumanLoopName
string
- IdList
array
- items NonEmptyString
- ImageBlob
string
- JobId
string
- JobStatus
string
(values: IN_PROGRESS, SUCCEEDED, FAILED, PARTIAL_SUCCESS)
- JobTag
string
- KMSKeyId
string
- MaxResults
integer
- NonEmptyString
string
- NotificationChannel
object
: The Amazon Simple Notification Service (Amazon SNS) topic to which Amazon Textract publishes the completion status of an asynchronous document operation, such as StartDocumentTextDetection.- RoleArn required
- SNSTopicArn required
- OutputConfig
object
: Sets whether or not your output will go to a user created bucket. Used to set the name of the bucket, and the prefix on the output file.- S3Bucket required
- S3Prefix
- Pages
array
- items UInteger
- PaginationToken
string
- Percent
number
- Point
object
: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
- Y
- Polygon
array
- items Point
- Relationship
object
: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.- Ids
- items NonEmptyString
- Type
- Ids
- RelationshipList
array
- items Relationship
- RelationshipType
string
(values: VALUE, CHILD, COMPLEX_FEATURES)
- RoleArn
string
- S3Bucket
string
- S3Object
object
:The S3 bucket name and file name that identifies the document.
The AWS Region for the S3 bucket that contains the document must match the Region that you use for Amazon Textract operations.
For Amazon Textract to process a file in an S3 bucket, the user must have permission to access the S3 bucket and file.
- Bucket
- Name
- Version
- S3ObjectName
string
- S3ObjectVersion
string
- SNSTopicArn
string
- SelectionStatus
string
(values: SELECTED, NOT_SELECTED)
- StartDocumentAnalysisRequest
object
- ClientRequestToken
- DocumentLocation required
- S3Object
- Bucket
- Name
- Version
- S3Object
- FeatureTypes required
- items FeatureType
- JobTag
- KMSKeyId
- NotificationChannel
- RoleArn required
- SNSTopicArn required
- OutputConfig
- S3Bucket required
- S3Prefix
- StartDocumentAnalysisResponse
object
- JobId
- StartDocumentTextDetectionRequest
object
- ClientRequestToken
- DocumentLocation required
- S3Object
- Bucket
- Name
- Version
- S3Object
- JobTag
- KMSKeyId
- NotificationChannel
- RoleArn required
- SNSTopicArn required
- OutputConfig
- S3Bucket required
- S3Prefix
- StartDocumentTextDetectionResponse
object
- JobId
- StatusMessage
string
- String
string
- TextType
string
(values: HANDWRITING, PRINTED)
- UInteger
integer
- Warning
object
: A warning about an issue that occurred during asynchronous text analysis (StartDocumentAnalysis) or asynchronous document text detection (StartDocumentTextDetection).- ErrorCode
- Pages
- items UInteger
- Warnings
array
- items Warning