STEP 1
Connect AWS Rekognition and Recraft AI
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 Recraft AI Integration
Integrate AWS Rekognition and Recraft AI and automate ai work. Actions from AWS Rekognition app can update information in Recraft AI - exactly how you set them in visual workflow builder. You can craft workflows how your business process needs with AI, and no coding skills required.
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Learn about AWS Rekognition and Recraft AI
Detailed info you need to know about AWS Rekognition and Recraft AI 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]
Recraft AI
AI platform for generating and editing vector and raster brand visuals. [6]
How to connect AWS Rekognition to Recraft AI
Set up your AWS Rekognition and Recraft AI integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and Recraft AI 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 Recraft AI. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and Recraft AI work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and Recraft AI 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 actionsRecraft AI 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.
Recraft AI modules
- Create a StyleUploads images to create a style reference in the Recraft API.
- Enhance Image ResolutionEnhances a raster image by increasing the resolution with a focus on refining small details and faces. Outputs can be a URL or a Base64-encoded image.
- Erase a RegionErases specific regions of a raster image according to a mask. White pixels in the mask indicate areas to erase, while black pixels remain intact. The output can be a URL or a Base64-encoded image.
- Generate an ImageGenerates a new image based on a text prompt and style, with optional controls for artistic level, colors, background color, and text layout. Can be used to create backgrounds, overlays, or fully custom images.
- Generate BackgroundReplaces background regions of an image using a mask and prompt.
- Generate Image VariationsGenerates multiple creative variations of a given input image. Uploads a PNG, JPG, or WEBP image, chooses the number of variations, output size, and format, and receives AI-generated alternatives with unique IDs and URLs.
- Get the Current UserRetrieves information about the current user.
- Inpaint an ImageModifies specific areas of an image using a mask where white pixels in the mask are replaced based on the prompt, and black pixels remain unchanged. Supports style, model, and optional parameters for advanced image generation.
- Make an API CallPerforms an arbitrary authorized API call.
- Remove BackgroundRemoves the background of a given raster image.
- Replace the BackgroundReplaces the background of an image with either a custom prompt or another uploaded image.
- Transform an ImageTransforms an input image according to a text prompt. Upload an image and set a prompt along with its strength; optional parameters include style, style_id, n, negative_prompt, controls, etc.
- Upscale an ImageEnhances a raster image by increasing resolution and making it sharper and cleaner. Output can be a URL or Base64-encoded image.
- Vectorize an ImageConverts a raster image (PNG, JPG, WEBP) into an SVG vector format. Output can be a URL or Base64-encoded SVG.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Rekognition and Recraft AI 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 Recraft AI.
Connect your AWS Rekognition and Recraft AI 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 Recraft AI's "Create a Style" action. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); Recraft AI has 14 actions (including Create a Style, Enhance Image Resolution, and Erase a Region). 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-Recraft AI 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 Recraft AI) 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 + Recraft AI 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 Recraft AI integration.
- AWS Rekognition and Recraft AI integration source code, module specs and credentials implementation.
- Our AWS Rekognition and Recraft AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and Recraft AI — 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
- Recraft AI integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library