AWS Textract

AWS Textract is a powerful AI service from Amazon Web Services designed to automatically extract printed text, handwriting, tables, forms, key-value pairs, and other structured data from scanned documents and images. Textract leverages advanced optical character recognition (OCR) and document analysis to transform documents into actionable data, enabling automation, analytics, compliance, and more.

With AWS Textract, you can:

  • Extract text from images and documents: Recognize printed text and handwriting in formats such as PDF, JPEG, PNG, or TIFF
  • Detect and extract tables: Automatically find tables and output their structured content
  • Parse forms and key-value pairs: Pull structured data from forms, including fields and their corresponding values
  • Identify signatures and layout features: Detect signatures, geometric layout, and relationships between document elements
  • Customize extraction with queries: Extract specific fields and answers using query-based extraction (e.g., "What is the invoice number?")

In Studio, the AWS Textract integration empowers your agents to intelligently process documents as part of their workflows. This unlocks automation scenarios such as data entry from invoices, onboarding documents, contracts, receipts, and more. Your agents can extract relevant data, analyze structured forms, and generate summaries or reports directly from document uploads or URLs. By connecting Studio with AWS Textract, you can reduce manual effort, improve data accuracy, and streamline your business processes with robust document understanding.

Usage Instructions

Integrate AWS Textract into your workflow to extract text, tables, forms, and key-value pairs from documents. Single-page mode supports JPEG, PNG, and single-page PDF. Multi-page mode supports multi-page PDF and TIFF.

Actions

AWS Textract Parser

Parse documents using AWS Textract OCR and document analysis

Input

ParameterTypeRequiredDescription
accessKeyIdstringYesAWS Access Key ID
secretAccessKeystringYesAWS Secret Access Key
regionstringYesAWS region for Textract service (e.g., us-east-1)
processingModestringNoDocument type: single-page or multi-page. Defaults to single-page.
filefileNoDocument to be processed (JPEG, PNG, or single-page PDF).
s3UristringNoS3 URI for multi-page processing (s3://bucket/key).
featureTypesarrayNoFeature types to detect: TABLES, FORMS, QUERIES, SIGNATURES, LAYOUT. If not specified, only text detection is performed.
queriesarrayNoCustom queries to extract specific information. Only used when featureTypes includes QUERIES.

Output

ParameterTypeDescription
blocksarrayArray of Block objects containing detected text, tables, forms, and other elements
↳ BlockTypestringType of block (PAGE, LINE, WORD, TABLE, CELL, KEY_VALUE_SET, etc.)
↳ IdstringUnique identifier for the block
↳ TextstringThe text content (for LINE and WORD blocks)
↳ TextTypestringType of text (PRINTED or HANDWRITING)
↳ ConfidencenumberConfidence score (0-100)
↳ PagenumberPage number
↳ GeometryobjectLocation and bounding box information
↳ BoundingBoxobjectBoundingBox output from the tool
↳ HeightnumberHeight as ratio of document height
↳ LeftnumberLeft position as ratio of document width
↳ TopnumberTop position as ratio of document height
↳ WidthnumberWidth as ratio of document width
↳ PolygonarrayPolygon coordinates
↳ XnumberX coordinate
↳ YnumberY coordinate
↳ RelationshipsarrayRelationships to other blocks
↳ TypestringRelationship type (CHILD, VALUE, ANSWER, etc.)
↳ IdsarrayIDs of related blocks
↳ EntityTypesarrayEntity types for KEY_VALUE_SET (KEY or VALUE)
↳ SelectionStatusstringFor checkboxes: SELECTED or NOT_SELECTED
↳ RowIndexnumberRow index for table cells
↳ ColumnIndexnumberColumn index for table cells
↳ RowSpannumberRow span for merged cells
↳ ColumnSpannumberColumn span for merged cells
↳ QueryobjectQuery information for QUERY blocks
↳ TextstringQuery text
↳ AliasstringQuery alias
↳ PagesarrayPages to search
documentMetadataobjectMetadata about the analyzed document
↳ pagesnumberNumber of pages in the document
modelVersionstringVersion of the Textract model used for processing

AWS Textract Analyze Expense

Extract structured invoice and receipt fields using AWS Textract AnalyzeExpense

Input

ParameterTypeRequiredDescription
accessKeyIdstringYesAWS Access Key ID
secretAccessKeystringYesAWS Secret Access Key
regionstringYesAWS region for Textract service (e.g., us-east-1)
processingModestringNoDocument type: single-page or multi-page. Defaults to single-page.
filefileNoInvoice or receipt to be processed (JPEG, PNG, or single-page PDF).
filePathstringNoURL to an invoice or receipt to be processed, if not uploaded directly.
s3UristringNoS3 URI for multi-page processing (s3://bucket/key).

Output

ParameterTypeDescription
expenseDocumentsarrayDetected expense documents with summary fields and line items
↳ expenseIndexnumberIndex of the expense document
↳ summaryFieldsarrayHeader fields such as vendor name, invoice date, and totals
↳ lineItemGroupsarrayGroups of line items (e.g., purchased items and their prices)
↳ lineItemGroupIndexnumberIndex of the line item group
↳ lineItemsarrayIndividual line items within the group
↳ lineItemExpenseFieldsarrayFields for a single line item (description, quantity, price)
documentMetadataobjectMetadata about the analyzed document
↳ pagesnumberNumber of pages in the document
modelVersionstringVersion of the AnalyzeExpense model used (multi-page/async only)

AWS Textract Analyze ID

Extract identity document fields using AWS Textract AnalyzeID

Input

ParameterTypeRequiredDescription
accessKeyIdstringYesAWS Access Key ID
secretAccessKeystringYesAWS Secret Access Key
regionstringYesAWS region for Textract service (e.g., us-east-1)
filefileNoFront of the identity document (JPEG, PNG, or PDF).
filePathstringNoURL to the front of the identity document, if not uploaded directly.
fileBackfileNoBack of the identity document, if applicable (JPEG, PNG, or PDF).
filePathBackstringNoURL to the back of the identity document, if not uploaded directly.

Output

ParameterTypeDescription
identityDocumentsarrayDetected identity documents with normalized fields
↳ documentIndexnumberIndex of the document page set
↳ identityDocumentFieldsarrayNormalized fields such as FIRST_NAME, LAST_NAME, DATE_OF_BIRTH, DOCUMENT_NUMBER, EXPIRATION_DATE
↳ typeobjectNormalized field label
↳ textstringField label text
↳ confidencenumberConfidence score (0-100)
↳ valueDetectionobjectDetected value for the field, with a normalized value for dates
↳ textstringField value text
↳ confidencenumberConfidence score (0-100)
documentMetadataobjectMetadata about the analyzed document
↳ pagesnumberNumber of pages analyzed
modelVersionstringVersion of the AnalyzeID model used for processing