STEP 1
Connect AWS Rekognition and AWS Transcribe
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 AWS Transcribe Integration
Integrate AWS Rekognition and AWS Transcribe and automate ai work. Actions from AWS Rekognition app can update information in AWS Transcribe - 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 AWS Transcribe
Detailed info you need to know about AWS Rekognition and AWS Transcribe 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]
AWS Transcribe
Transcribe audio and video files and manage custom vocabularies with Amazon Transcribe. [6]
How to connect AWS Rekognition to AWS Transcribe
Set up your AWS Rekognition and AWS Transcribe integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and AWS Transcribe 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 AWS Transcribe. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and AWS Transcribe work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and AWS Transcribe 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 actionsAWS Transcribe 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.
AWS Transcribe modules
- Create VocabularyCreate Vocabulary via Amazon AWS.
- Create Vocabulary FilterCreate Vocabulary Filter via Amazon AWS.
- Delete Transcription JobDelete Transcription Job via Amazon AWS.
- Delete VocabularyDelete Vocabulary via Amazon AWS.
- Get Transcription JobGet Transcription Job via Amazon AWS.
- Get VocabularyGet Vocabulary via Amazon AWS.
- List Transcription JobsList Transcription Jobs via Amazon AWS.
- List VocabulariesList Vocabularies via Amazon AWS.
- Make an API CallPerforms an arbitrary authorized API call to the AWS Transcribe endpoint.
- Start Transcription JobStart Transcription Job via Amazon AWS.
- Update VocabularyUpdate Vocabulary via Amazon AWS.
- Update Vocabulary FilterUpdate Vocabulary Filter via Amazon AWS.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with AWS Rekognition and AWS Transcribe 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 AWS Transcribe.
Connect your AWS Rekognition and AWS Transcribe 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 AWS Transcribe's "Create Vocabulary" action. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); AWS Transcribe has 12 actions (including Create Vocabulary, Create Vocabulary Filter, and Delete Transcription Job). 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-AWS Transcribe 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 AWS Transcribe) 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 + AWS Transcribe 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 AWS Transcribe integration.
- AWS Rekognition and AWS Transcribe integration source code, module specs and credentials implementation.
- Our AWS Rekognition and AWS Transcribe integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and AWS Transcribe — 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
- AWS Transcribe integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library