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AWS Rekognition

Detect faces, labels, text, and moderation content in images with Amazon Rekognition.

2 searches9 actionsPollingAuth: API key

AI-assisted documentation4 min read

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

Open AWS Rekognition on WEXTL →

To use AWS Rekognition on WEXTL you need an active account and an API access token from your account settings.[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 Rekognition signing name.

    [1]
  • Session Tokenpassword

    Temporary STS credentials.

    [1]
  1. Log in to your WEXTL account, add the AWS Rekognition 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 Rekognition 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 Rekognition node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.

Open any AWS Rekognition node module below to inspect its input parameters, outputs, and connection requirements.

Detect LabelsSearch
Input fields[3]
FieldType
ImageRequired
object
Bytestext
S3 Objectobject
Max Labelsnumber
Min Confidencenumber
Output fields[3]
FieldType
Labelsarray
Detect TextSearch
Input fields[3]
FieldType
ImageRequired
object
Bytestext
S3 Objectobject
Output fields[3]
FieldType
Text Detectionsarray
Compare FacesAction
Input fields[3]
FieldType
Source ImageRequired
object
Bytestext
S3 Objectobject
Target ImageRequired
object
Bytestext
S3 Objectobject
Similarity Thresholdnumber
Output fields[3]
FieldType
Face Matchesarray
Create CollectionAction
Input fields[3]
FieldType
Collection IDRequired
text
Output fields[3]
FieldType
Collection ARNtext
Status Codenumber
Detect FacesAction
Input fields[3]
FieldType
ImageRequired
object
Bytestext
S3 Objectobject
Attributeschoice
Output fields[3]
FieldType
Face Detailsarray
Detect Moderation LabelsAction
Input fields[3]
FieldType
ImageRequired
object
Bytestext
S3 Objectobject
Min Confidencenumber
Output fields[3]
FieldType
Moderation Labelsarray
Detect Protective EquipmentAction
Input fields[3]
FieldType
ImageRequired
object
Bytestext
S3 Objectobject
Summarization Attributesobject
Output fields[3]
FieldType
Personsarray
Face Search By ImageAction
Input fields[3]
FieldType
Collection IDRequired
choice
ImageRequired
object
Bytestext
S3 Objectobject
Face Match Thresholdnumber
Max Facesnumber
Output fields[3]
FieldType
Face Matchesarray
Index FacesAction
Input fields[3]
FieldType
Collection IDRequired
choice
ImageRequired
object
Bytestext
S3 Objectobject
External Image IDtext
Max Facesnumber
Output fields[3]
FieldType
Face Recordsarray
Make an API Calluniversal
Input fields[3]
FieldType
URLRequired
text
MethodRequired
choice
Headersarray
Query Stringarray
Bodytext
Output fields[3]
FieldType
Bodytext
Headerstext
Status Codenumber
Recognize CelebritiesAction
Input fields[3]
FieldType
ImageRequired
object
Bytestext
S3 Objectobject
Output fields[3]
FieldType
Celebrity Facesarray

Look for AWS Rekognition templates in the WEXTL template library.

Browse templates →
  1. AWS Transcribe[2]Transcribe audio and video files and manage custom vocabularies with Amazon Transcribe.
  2. AWS TextractExtract text, forms, tables, and expense data from documents with Amazon Textract.
  3. AWS ComprehendAmazon's natural language processing service for finding insights in text.
  4. BotsonicNo-code AI chatbot builder for customer support, FAQs, and automated conversations on websites.
  5. Camb AIAI localization for text-to-speech, transcription, and voice dubbing.
More apps in AI category →
  1. WEXTL® AWS Rekognition Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for AWS Rekognition.
  4. WEXTL® visual workflow builder data.

Last updated: Sep 3, 2026 08:02

How we write our apps documentation

How we compile these docs — sources, AI's role, and how we verify.