STEP 1
Select AWS Rekognition in workflow
Pick AWS Rekognition app in the workflow builder [4] - just one click to select the app.
AWS Rekognition Integration
Detect faces, labels, text, and moderation content in images with Amazon Rekognition. Use AWS Rekognition inside visual AI workflows to move from generated results to real actions. Combine Detect Text with Compare Faces or Create Collection to keep repetitive work moving automatically.
3-day trialCancel anytimeUp to 10 minutes quick set up
- GDPR
- Data Encryption
- 2FA
- Local Data Region
Supported triggers and actions for AWS Rekognition integration
Triggers can detect changes in AWS Rekognition and run actions that can create, search or modify data inside AWS Rekognition automatically [3] — exactly how you set them.
- Detect LabelsDetect Labels via Amazon AWS.
- Detect TextDetect Text via Amazon AWS.
- Compare FacesCompare Faces via Amazon AWS.
- Create CollectionCreate Collection via Amazon AWS.
- Detect FacesDetect Faces via Amazon AWS.
- Detect Moderation LabelsDetect Moderation Labels via Amazon AWS.
- Detect Protective EquipmentDetect Protective Equipment via Amazon AWS.
- Face Search By ImageFace Search By Image via Amazon AWS.
- Index FacesIndex Faces via Amazon AWS.
- Make an API CallPerforms an arbitrary authorized API call to the AWS Rekognition endpoint.
- Recognize CelebritiesRecognize Celebrities via Amazon AWS.
How to integrate AWS Rekognition in automation workflow?
3 simple steps to make your AWS Rekognition connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect AWS Rekognition
When prompted, authorize access to AWS Rekognition in WEXTL once. AWS Rekognition credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your AWS Rekognition account. Approve?
STEP 3
Build a workflow
Build your workflow with AWS Rekognition yourself or with WEXTL® AI Builder. Connect AWS Rekognition to any available integrations [5], or use HTTP node to go beyond them.
AWS Rekognition
How AWS Rekognition connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever AWS Rekognition app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that AWS Rekognition supports.
The following table illustrates what fields AWS Rekognition integration require during authorization flow inside our workflow builder [4].
Connect AWS Rekognition
Access Key ID*Text
••••••••
Secret Access Key*Text
••••••••
Demonstration of AWS Rekognition connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
Access Key IDRequired | text | IAM access key. |
Secret Access KeyRequired | password | Stored encrypted. Marker for SigV4 signing. |
RegionRequired | text | e.g. us-east-1. Drives host. |
ServiceRequired | select | Amazon AWS Rekognition signing name. |
| Session Token | password | Temporary STS credentials. |
Connect AWS Rekognition to popular apps on WEXTL
Enter a name of the other app you want to sync with AWS Rekognition below. Click on selected app to explore integration options with AWS Rekognition. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with AWS Rekognition integration
Select Detect Labels action from AWS Rekognition - this will be a starting point in your automation. Whenever event happens in AWS Rekognition, workflow will start [7] from Detect Labels node.
Search for Detect Faces, connect it as the next step of integration sequence. You can use filters between Detect Labels and Detect Faces, so only important data pass from Detect Labels to the next step. WEXTL gives you full control over the process of AWS Rekognition automation. All parts of workflow are visible on the canvas [4].
AWS Rekognition on WEXTL has 11 modules for combining ai automations. Explore AWS Rekognition documentation for more.
AWS Rekognition
Detect Labels
AWS Transcribe
Performs action
OR
AWS Transcribe
Triggers
AWS Rekognition
Detect Faces
Demonstration of how visual AWS Rekognition automation [6] looks in WEXTL.
Frequently asked questions
Common questions about automating AWS Rekognition in your workflows.
AWS Rekognition has no triggers, but it provides 11 actions including "Detect Labels", "Detect Text", and "Compare Faces". Pair them with triggers from other apps to automate AWS Rekognition tasks.
Integration has 11 actions, including "Detect Labels", "Detect Text", and "Compare Faces", and more. Refer to our AWS Rekognition Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The AWS Rekognition integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by AWS Rekognition official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where AWS Rekognition provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever AWS Rekognition or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for AWS Rekognition inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with AWS Rekognition modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the AWS Rekognition integration.
- AWS Rekognition integration source code, module specs and credentials implementation.
- Internal AWS Rekognition integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official AWS Rekognition vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
- WEXTL® Apps Library
- WEXTL® AWS Rekognition App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation