STEP 1
Connect AWS Rekognition and Tempo
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 Tempo Integration
Wire AWS Rekognition's ai events straight into Tempo's hr actions on the WEXTL® visual canvas. Handoffs between your ai and hr tools stay automatic - drag the nodes, map the fields once, and let AI carry the rest. 3-step setup, no code, no engineering ticket.
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Learn about AWS Rekognition and Tempo
Detailed info you need to know about AWS Rekognition and Tempo 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 Tempo
Set up your AWS Rekognition and Tempo integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and Tempo 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 Tempo. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and Tempo work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and Tempo 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.
Tempo triggersAWS Rekognition actions
Tempo modules
- Add Project Time ApproversAdds project time approvers to a specified project.
- Approve a TimesheetApproves a timesheet for a given user in a specified period and returns the approved timesheet.
- Approve Project TimeApproves project time for a specific entry.
- Create a CustomerCreates a new customer.
- Create an AccountCreates a new Tempo account.
- Create an ExpenseCreates a new expense entry.
- Create a ProjectCreates a new project.
- Create a ReportCreates a costs and revenues report.
- Create a TeamCreates a new team.
- Create Project Team Member RateCreates a project team member rate based on specified parameters.
- Create Team MembershipAdds a user to a team.
- Delete a CustomerDeletes a customer from the system.
- Delete an AccountDeletes an account permanently from the service.
- Delete an Account LinkRemoves an account link.
- Delete an ExpenseDeletes an expense record.
- Delete a ProjectDeletes a project from the system.
- Delete a Project Team Member RateDeletes the rate of a project team member.
- Delete a Project User RateDeletes a user rate from a project.
- Delete a ReportDeletes a costs and revenues report.
- Delete a TeamDeletes a specified team from the service.
- Delete Team MembershipRemoves a user from a team.
- Get a CustomerRetrieves details for a specific customer.
- Get an AccountRetrieves details for a specific account.
- Get an Account LinkRetrieves details for a specific account link.
- Get an ExpenseRetrieves details for a specific expense.
- Get Approval Labour CostGets labor costs associated with an approval.
- Get a ProjectRetrieves details for a specific project.
- Get a ReportRetrieves a costs and revenues report.
- Get a TeamRetrieves details for a specific team.
- Get Current Timesheet ApprovalRetrieves the current timesheet approval for a user in a given period.
- Get Project Time ApproversRetrieves a list of project time approvers.
- Get Report DataRetrieves data from a generated report.
- Get Team MembershipRetrieves details for a specific membership.
- List Account LinksRetrieves a list of all existing links associated with the provided account.
- List Account LinksRetrieves account links to Jira projects.
- List AccountsRetrieves a list of Tempo accounts.
- List CustomersRetrieves a list of customers linked to accounts.
- List Customers' Linked AccountsRetrieves accounts associated with customers.
- List ExpensesLists all expense actuals within a project.
- List Latest Project Time ApprovalsRetrieves the latest project time approvals.
- List Planned Labor for a ProjectLists all planned labor within a project.
- List Plans for ReviewRetrieves a list of plans that are ready for review.
- List Possible Plan ReviewersRetrieves a list of possible plan reviewers.
- List Project ExpensesRetrieves project recorded expenses.
- List Project LabourLists all labor actuals within a project.
- List ProjectsRetrieves all projects available in Tempo.
- List Project Time ApprovalsGets a list of project time approvals for a given project and period.
- List ReportsGets a list of cost and revenue reports.
- List Team MembersGets project's team members with their roles.
- List Team MembershipsRetrieves team membership records.
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 Tempo 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 Tempo.
Connect your AWS Rekognition and Tempo 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 Tempo's "Watch Accounts" fires, WEXTL can "Compare Faces" in AWS Rekognition. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); Tempo has 86 actions (including Add Project Time Approvers, Approve a Timesheet, and Approve Project Time). 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-Tempo 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 Tempo) 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 + Tempo 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 Tempo integration.
- AWS Rekognition and Tempo integration source code, module specs and credentials implementation.
- Our AWS Rekognition and Tempo integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and Tempo — 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
- Tempo integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library