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AWS Textract

Extract text, forms, tables, and expense data from documents with Amazon Textract.

2 searches5 actionsPollingAuth: API key

AI-assisted documentation3 min read

This documentation is compiled from our integration source code, internal specs for AWS Textract, its official API documentation and anonymized requests logs we collect from our support team[2].

Open AWS Textract on WEXTL →

Before you set up the credential, make sure you have an active AWS Textract account and an API access token from your account settings ready.[3]

  • Access Key IDtextRequired

    IAM access key.

    [1]
  • Secret Access KeypasswordRequired

    Stored encrypted. Marker for SigV4 signing.

    [1]
  • RegiontextRequired

    e.g. us-east-1. Drives host.

    [1]
  • ServiceselectRequired

    Amazon AWS Textract signing name.

    [1]
  • Session Tokenpassword

    Temporary STS credentials.

    [1]
  1. Log in to your WEXTL account, add the AWS Textract node module to your workflow, and click Create new credential.
  2. Optional: In the Credential name field, enter a name for the credential.
  3. Enter the authentication credentials you copied from your AWS Textract account, or follow the on-screen instructions to create the credential.
  4. If prompted, authenticate your account and confirm access.
  5. If you want to make changes to your credential in the future, follow the steps in Manage credentials →

Notes

Credentials are org-scoped; share them with teammates from the Credentials picker on any of its nodes.For detailed information on connecting an application, see Connect an application →

The list below is a reference of every AWS Textract node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

Each AWS Textract node module below opens to reveal its input parameters, outputs, and connection requirements.

Get Document AnalysisSearch
Input fields[3]
FieldType
LimitRequired
number
Job IDRequired
text
Output fields[3]
FieldType
Blockobject
Job Statustext
Get Document Text DetectionSearch
Input fields[3]
FieldType
LimitRequired
number
Job IDRequired
text
Output fields[3]
FieldType
Blockobject
Job Statustext
Analyze DocumentAction
Input fields[3]
FieldType
DocumentRequired
object
Bytestext
S3 Objectobject
Feature TypesRequired
choice
Output fields[3]
FieldType
Blocksarray
Analyze ExpenseAction
Input fields[3]
FieldType
DocumentRequired
object
Bytestext
S3 Objectobject
Output fields[3]
FieldType
Expense Documentsarray
Make an API Calluniversal
Input fields[3]
FieldType
URLRequired
text
MethodRequired
choice
Headersarray
Query Stringarray
Bodytext
Output fields[3]
FieldType
Bodytext
Headerstext
Status Codenumber
Start Document AnalysisAction
Input fields[3]
FieldType
Document LocationRequired
object
S3 ObjectRequired
object
Feature TypesRequired
choice
Notification Channelobject
Job Tagtext
Output fields[3]
FieldType
Job IDtext
Start Document Text DetectionAction
Input fields[3]
FieldType
Document LocationRequired
object
S3 ObjectRequired
object
Notification Channelobject
Job Tagtext
Output fields[3]
FieldType
Job IDtext

Look for AWS Textract templates in the WEXTL template library.

Browse templates →
  1. AWS Rekognition[2]Detect faces, labels, text, and moderation content in images with Amazon Rekognition.
  2. AWS TranscribeTranscribe audio and video files and manage custom vocabularies with Amazon Transcribe.
  3. AWS ComprehendAmazon's natural language processing service for finding insights in text.
  4. AltText AIAI-generated image alt text for accessibility and SEO.
  5. Camb AIAI localization for text-to-speech, transcription, and voice dubbing.
More apps in AI category →
  1. WEXTL® AWS Textract Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for AWS Textract.
  4. WEXTL® visual workflow builder data.

Last updated: Sep 3, 2026 08:02

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