STEP 1
Connect AWS Rekognition and Taiga
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 Taiga Integration
Automate the handoff between AWS Rekognition and Taiga - your ai events flow into productivity 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 Taiga
Detailed info you need to know about AWS Rekognition and Taiga 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 Taiga
Set up your AWS Rekognition and Taiga integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AWS Rekognition and Taiga 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 Taiga. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AWS Rekognition and Taiga work in WEXTL?
WEXTL exposes actions and triggers for AWS Rekognition and Taiga 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.
Taiga triggersAWS Rekognition actions
Taiga modules
- Bulk Create EpicsBulk processes the create Epics.
- Bulk Create MembershipsBulk processes the create Memberships.
- Bulk Create TasksBulk processes the create Tasks.
- Bulk Create User StoriesBulk processes the create User Stories.
- Bulk Update User Story Backlog OrderBulk processes the update User Story Backlog Order.
- Bulk Update User Story Kanban OrderBulk processes the update User Story Kanban Order.
- Bulk Update User Story MilestoneBulk processes the update User Story Milestone.
- Create EpicCreates the epic.
- Create Epic AttachmentCreates the epic Attachment.
- Create Epic Related User StoryCreates the epic Related User Story.
- Create IssueCreates the issue.
- Create Issue AttachmentCreates the issue Attachment.
- Create Issue StatusCreates the issue Status.
- Create MembershipCreates the membership.
- Create MilestoneCreates the milestone.
- Create ProjectCreates the project.
- Create Project TagCreates the project Tag.
- Create RoleCreates the role.
- Create TaskCreates the task.
- Create Task AttachmentCreates the task Attachment.
- Create Task StatusCreates the task Status.
- Create User StoryCreates the user Story.
- Create User Story AttachmentCreates the user Story Attachment.
- Create User Story StatusCreates the user Story Status.
- Create Wiki LinkCreates the wiki Link.
- Create Wiki PageCreates the wiki Page.
- Delete CommentDeletes the comment.
- Delete EpicDeletes the epic.
- Delete Epic AttachmentDeletes the epic Attachment.
- Delete Epic Related User StoryDeletes the epic Related User Story.
- Delete IssueDeletes the issue.
- Delete Issue AttachmentDeletes the issue Attachment.
- Delete Issue StatusDeletes the issue Status.
- Delete MembershipDeletes the membership.
- Delete MilestoneDeletes the milestone.
- Delete ProjectDeletes the project.
- Delete Project TagDeletes the project Tag.
- Delete RoleDeletes the role.
- Delete TaskDeletes the task.
- Delete Task AttachmentDeletes the task Attachment.
- Delete Task StatusDeletes the task Status.
- Delete User StoryDeletes the user Story.
- Delete User Story AttachmentDeletes the user Story Attachment.
- Delete User Story StatusDeletes the user Story Status.
- Delete Wiki LinkDeletes the wiki Link.
- Delete Wiki PageDeletes the wiki Page.
- Duplicate ProjectDuplicates the project.
- Edit CommentUpdates the comment.
- Export ProjectExports the project.
- Get EpicReturns the epic.
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 Taiga 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 Taiga.
Connect your AWS Rekognition and Taiga 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 Taiga's "Watch New Issues" fires, WEXTL can "Compare Faces" in AWS Rekognition. AWS Rekognition has 11 actions (including Compare Faces, Create Collection, and Detect Faces); Taiga has 143 actions (including Bulk Create Epics, Bulk Create Memberships, and Bulk Create Tasks). 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-Taiga 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 Taiga) 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 + Taiga 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 Taiga integration.
- AWS Rekognition and Taiga integration source code, module specs and credentials implementation.
- Our AWS Rekognition and Taiga integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AWS Rekognition and Taiga — 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
- Taiga integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library