STEP 1
Connect AWS Rekognition and Slazzer
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AWS Rekognition and Slazzer Integration
Build ai integration workflows between AWS Rekognition and Slazzer applications in 3 simple steps. Pick an action inside AWS Rekognition, then subsequent action inside Slazzer, map fields once and automation will run exactly how you set it in visual builder.
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Learn about AWS Rekognition and Slazzer
Detailed info you need to know about AWS Rekognition and Slazzer integrations in WEXTL. Explore which modules apps support and how you connect them.
AWS Rekognition
Detect faces, labels, text, and moderation content in images with Amazon Rekognition. [5]
How to connect AWS Rekognition to Slazzer
Set up your AWS Rekognition and Slazzer integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and Slazzer nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AWS Rekognition and Slazzer. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and Slazzer work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and Slazzer that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
AWS Rekognition actionsSlazzer actions
AWS Rekognition modules
- Compare FacesCompare Faces via Amazon AWS.
- Create CollectionCreate Collection via Amazon AWS.
- Detect FacesDetect Faces via Amazon AWS.
- Detect LabelsDetect Labels via Amazon AWS.
- Detect Moderation LabelsDetect Moderation Labels via Amazon AWS.
- Detect Protective EquipmentDetect Protective Equipment via Amazon AWS.
- Detect TextDetect Text 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.
Slazzer modules
- Add Image ShadowsAdds studio shadows to a given image.
- Create a De-Oldified ImageCreates a de-oldified version of a given image.
- Create a Food Catalogue ImageCreates an image for a food catalogue.
- Create a Furniture Catalogue ImageCreates an image for a furniture catalogue.
- Enhance an ImageCreates an enhanced version of a given image.
- Improve a Grocery ImageImproves an image for a grocery catalogue.
- Make an API CallPerforms an arbitrary authorized API call.
- Relight an ImageImproves image lightness.
- Remove a BackgroundRemoves the background from a given image.
- Remove a BackgroundRemoves a background from a given image following a provided prompt.
- Upscale an ImageCreates an upscaled copy of a given image.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Rekognition and Slazzer integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting AWS Rekognition and Slazzer.
Connect your AWS Rekognition and Slazzer accounts once, pick an action in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: use AWS Rekognition's "Compare Faces" action to perform Slazzer's "Add Image Shadows" action. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); Slazzer has 11 actions (including Add Image Shadows, Create a De-Oldified Image, and Create a Food Catalogue Image). Add filters and transforms between steps when you need them. [1]
Yes — pick an action in either app, then an action in the other, and map the fields between them. [2]
No. AWS Rekognition-to-Slazzer automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AWS Rekognition (or Slazzer) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AWS Rekognition + Slazzer automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AWS Rekognition and Slazzer integration.
- AWS Rekognition and Slazzer integration source code, module specs and credentials implementation.
- Our AWS Rekognition and Slazzer integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and Slazzer — 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.
- AWS Rekognition integration information
- Slazzer integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library