STEP 1
Connect AWS Rekognition and Deskpro
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 Deskpro Integration
Automate the handoff between AWS Rekognition and Deskpro - your ai events flow into support actions on a visual canvas your team can read. Set up the workflow once with 3 simple steps in the WEXTL® builder, let AI take smart decisions between apps, and never write a line of glue code again.
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Learn about AWS Rekognition and Deskpro
Detailed info you need to know about AWS Rekognition and Deskpro 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 Deskpro
Set up your AWS Rekognition and Deskpro integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and Deskpro 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 Deskpro. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and Deskpro work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and Deskpro 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.
Deskpro triggersAWS Rekognition actions
Deskpro modules
- Approve an ApprovalApproves an approval process or request.
- Cancel an ApprovalCancels an approval request currently in process.
- Create a New Community TopicCreates a new community topic.
- Create a TaskCreates a new task in the specified task list.
- Create a TicketCreates a new ticket in the system.
- Create a Ticket ApprovalCreates a new ticket approval in the system.
- Create a User ChatCreates a new user chat.
- Create an Agent ChatCreates a new agent chat.
- Create an Agent Chat MessageCreates a new agent chat message.
- Create an Agent TeamCreates a new agent team in the system.
- Create an Approval TemplateCreates a new approval template in the system.
- Create an Approval TypeCreates a new approval type in the system.
- Create an ArticleCreates a new article.
- Create an Article Custom FieldCreates a new custom field for an article.
- Create User Chat MessagesCreates new user chat messages.
- Delete a Community TopicRemoves a community topic from the system.
- Delete a TaskRemoves a task.
- Delete a TicketDeletes a ticket in the system.
- Delete a User ChatDeletes a user chat from the system.
- Delete an AgentDeletes an agent from the system.
- Delete an Agent ChatDeletes an existing agent chat.
- Delete an Agent Chat MessageDeletes an agent chat message from the conversation.
- Delete an Agent GroupDeletes details for a specific agent group.
- Delete an Agent TeamDeletes details for a specific team group.
- Delete an Approval TemplateDeletes an approval template.
- Delete an Approval TypeDeletes an approval type from the system.
- Delete an ArticleDeletes an article from the database or content management system.
- Delete Article Custom FieldsRemoves an article custom field.
- Download an Article as PDFDownloads an article as a PDF file.
- Get a Community TopicRetrieves a community topic.
- Get a JobRetrieves a job based on a specified ID or criteria.
- Get a TaskRetrieves a task from the service.
- Get a TicketRetrieves a ticket based on specified criteria.
- Get a User ChatRetrieves a user chat.
- Get Agent Group CountRetrieves the count of agent groups.
- Get Agent Team CountRetrieves the count of agents in a team.
- Get Agents CountRetrieves the count of all agents.
- Get Agents' Extended ModelsRetrieves all agents' extended models.
- Get an AgentRetrieves details for a specific agent.
- Get an Agent ChatRetrieves a new agent chat.
- Get an Agent Chat MessageRetrieves an agent chat message.
- Get an Agent GroupRetrieves details for a specific agent group.
- Get an Agent TeamRetrieves details for a specific agent team.
- Get an Approval TemplateRetrieves details for an approval template.
- Get an Approval Template CountRetrieves details for an approval template count.
- Get an Approval TypeRetrieves the details for an approval type.
- Get an Approval Type CountRetrieves details for an approval type count.
- Get an ArticleRetrieves details for an article.
- Get Approval Responses CountRetrieves the count of approval responses.
- Get Article CountRetrieves the count of all articles.
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.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Rekognition and Deskpro 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 Deskpro.
Connect your AWS Rekognition and Deskpro accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Deskpro's "Watch Agent Chats Messages" fires, WEXTL can "Compare Faces" in AWS Rekognition. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); Deskpro has 92 actions (including Approve an Approval, Cancel an Approval, and Create a New Community Topic). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. AWS Rekognition-to-Deskpro 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 Deskpro) 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 + Deskpro 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 Deskpro integration.
- AWS Rekognition and Deskpro integration source code, module specs and credentials implementation.
- Our AWS Rekognition and Deskpro integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and Deskpro — 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
- Deskpro integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library