STEP 1
Connect AWS Rekognition and FileMaker
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 FileMaker Integration
Use available ai actions below from AWS Rekognition application to perform database needed actions inside FileMaker app. Process become fully automated, and your workflows between AWS Rekognition and FileMaker stay visible on user friendly canvas, so you can access them anytime. Just automate visually - no coding skills needed.
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Learn about AWS Rekognition and FileMaker
Detailed info you need to know about AWS Rekognition and FileMaker 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 FileMaker
Set up your AWS Rekognition and FileMaker integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and FileMaker 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 FileMaker. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and FileMaker work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and FileMaker 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 actionsFileMaker 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.
FileMaker modules
- Create RecordCreates a new record on a layout.
- Delete RecordDeletes a record from a layout.
- Duplicate RecordCreates a copy of an existing record on a layout.
- Edit RecordUpdates the field values of an existing record.
- Find RecordsRetrieves the records on a layout that match the given find criteria.
- Get Layout MetadataReturns the field, portal, and value list definitions for a layout.
- Get Product InfoReturns version and locale format information about the FileMaker host.
- Get RecordReturns a single record from a layout by its record ID.
- List DatabasesRetrieves a list of hosted databases available through the Data API.
- List LayoutsRetrieves a list of layouts in the connected database.
- List RecordsRetrieves a list of records from a layout.
- List ScriptsRetrieves a list of scripts in the connected database.
- Make an API CallPerforms an arbitrary authorized API call.
- Run ScriptRuns a FileMaker script in the connected database.
- Set Global Field ValuesSets the values of global fields in the connected database.
- Upload Container DataUploads a file into a container field on a record.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Rekognition and FileMaker 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 FileMaker.
Connect your AWS Rekognition and FileMaker 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 FileMaker's "Create Record" action. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); FileMaker has 16 actions (including Create Record, Delete Record, and Duplicate Record). 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-FileMaker 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 FileMaker) 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 + FileMaker 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 FileMaker integration.
- AWS Rekognition and FileMaker integration source code, module specs and credentials implementation.
- Our AWS Rekognition and FileMaker integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and FileMaker — 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
- FileMaker integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library