STEP 1
Connect AWS Rekognition and Jobber
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 Jobber Integration
Connect AWS Rekognition to Jobber on visual integration builder following simple steps below. When ai event fired from AWS Rekognition, it will run actions inside Jobber app - exactly how you set them in your project management automation. No coding skills required.
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Learn about AWS Rekognition and Jobber
Detailed info you need to know about AWS Rekognition and Jobber 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 Jobber
Set up your AWS Rekognition and Jobber integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and Jobber 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 Jobber. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and Jobber work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and Jobber 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.
Jobber triggersAWS Rekognition actions
Jobber modules
- Archive a ClientArchives an existing client.
- Archive a RequestArchives a request by ID.
- Close a JobCloses an existing job by id.
- Complete a VisitCompletes a single visit.
- Create a ClientCreates a new client.
- Create a JobCreates a new job.
- Create a PropertyCreates a new property.
- Create a QuoteCreates a new quote.
- Create a Quote NoteCreates a new note for a specified quote.
- Create a RequestCreates a new job request.
- Create a TaskCreates a new task.
- Create a VisitCreates a new visit.
- Create a Visit Line ItemCreates a visit line item.
- Create an ExpenseCreates a new expense.
- Delete a TaskDeletes an existing task.
- Delete a VisitDeletes a single visit.
- Delete an ExpenseDeletes an existing expense.
- Get a ClientRetrieves a single client.
- Get a PropertyRetrieves a single property by ID.
- Get a QuoteRetrieves an existing quote by ID.
- Get a TaskRetrieves an existing task by id.
- Get an InvoiceRetrieves a single invoice by id.
- Get Job DetailsRetrieves details for a specific job by id.
- List Quote NotesRetrieves a list of notes for specified quotes.
- Make an API CallPerforms an arbitrary authorized GrahpQL call.
- Mark a Visit as IncompleteMarks a visit as incomplete based on a provided ID.
- Reopen a JobReopens an existing job by id.
- Search ClientsSearches for clients by specified criteria.
- Search InvoicesSerches for invoiced by specified criteria.
- Search JobsSearches for jobs by specified criteria.
- Search PropertiesSearches for properties by specified criteria.
- Search QuotesSearches for quotes by specified criteria.
- Search VisitsSearches for visits by specified criteria.
- Update a ClientUpdates an existing client by id.
- Update a JobUpdates an existing job by id.
- Update a PropertyUpdates an existing property by id.
- Update a QuoteUpdates an existing quote.
- Update a Quote NoteUpdates an existing quote note.
- Update a VisitUpdates an existing visit's details.
- Update an ExpenseUpdates the details of a single expense.
- Update an InvoiceUpdates an existing invoice by id.
- Watch EventsTriggers when a specidied event is occurred.
- Watch Job UpdatesWatches for new updates on jobs.
- Watch Updated ClientsWatches for updated clients.
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 Jobber 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 Jobber.
Connect your AWS Rekognition and Jobber 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 Jobber's "Watch Events" fires, WEXTL can "Compare Faces" in AWS Rekognition. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); Jobber has 41 actions (including Archive a Client, Archive a Request, and Close a Job). 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-Jobber 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 Jobber) 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 + Jobber 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 Jobber integration.
- AWS Rekognition and Jobber integration source code, module specs and credentials implementation.
- Our AWS Rekognition and Jobber integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and Jobber — 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
- Jobber integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library