STEP 1
Select Muse AI in workflow
Pick Muse AI app in the workflow builder [4] - just one click to select the app.
Muse AI Integration
AI video and image platform for uploads, face detection, color analysis, and content insights. Use Muse AI inside visual AI workflows to move from generated results to real actions. Combine Get a Video with Get Detected Faces or List Videos to keep repetitive work moving automatically.
3-day trialCancel anytimeUp to 10 minutes quick set up
- GDPR
- Data Encryption
- 2FA
- Local Data Region
Supported triggers and actions for Muse AI integration
Triggers can detect changes in Muse AI and run actions that can create, search or modify data inside Muse AI automatically [3] — exactly how you set them.
- Watch VideosTriggers when a new video is uploaded or becomes available.
- Get a VideoRetrieves details of a single video.
- Get Detected FacesRetrieves a list of detected faces.
- List VideosRetrieves a list of videos.
- Align an Audio with a TranscriptAligns an audio file with a provided transcript.
- Cut a Video ClipCuts an existing video file after upload.
- Delete a Subtitle FileDeletes a subtitle file by ID.
- Delete an Uploaded VideoDeletes an existing video from the service.
- Detect Cluster ScenesPerforms splitting of videos based on shot boundaries.
- Detect FacesDetects when and where faces appear in a video, groups similar faces together, and labels known faces.
- Download a Subtitle FileDownloads a subtitle file by ID.
- Identify Actions in a VideoRecognizes actions such as dancing, flying, driving, etc. in a video.
- Identify Image ColorsIdentifies colors in images.
- Identify Image ObjectsIdentifies objects in images.
- Identify Image TextsFinds and recognizes text in an image.
- Identify Sound Types in an AudioIdentifies sound types in an audio file, including speech, music, applause, laughter, and silence.
- Make an API CallPerforms an arbitrary authorized API call.
- Transcribe an AudioPerforms speech recognition on video or audio files to generate transcripts of speech.
- Update a Subtitle FileUpdates a subtitle file for a video.
- Update a Video CoverUpdates a video cover or thumbnail using a timed frame from the video.
How to integrate Muse AI in automation workflow?
3 simple steps to make your Muse AI connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Muse AI
When prompted, authorize access to Muse AI in WEXTL once. Muse AI credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Muse AI account. Approve?
STEP 3
Build a workflow
Build your workflow with Muse AI yourself or with WEXTL® AI Builder. Connect Muse AI to any available integrations [5], or use HTTP node to go beyond them.
Muse AI
How Muse AI connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Muse AI app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Muse AI supports.
The following table illustrates what fields Muse AI integration require during authorization flow inside our workflow builder [4].
Video slide demonstrates how Muse AI is connected in WEXTL builder [4].
| Field | Type | Help |
|---|---|---|
EmailRequired | — | |
PasswordRequired | password | — |
Connect Muse AI to popular apps on WEXTL
Enter a name of the other app you want to sync with Muse AI below. Click on selected app to explore integration options with Muse AI. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Muse AI integration
Select Watch Videos trigger from Muse AI - this will be a starting point in your automation. Whenever event happens in Muse AI, workflow will start [7] from Watch Videos node.
Search for Update a Video Cover, connect it as the next step of integration sequence. You can use filters between Watch Videos and Update a Video Cover, so only important data pass from Watch Videos to the next step. WEXTL gives you full control over the process of Muse AI automation. All parts of workflow are visible on the canvas [4].
Muse AI on WEXTL has 24 modules for combining ai automations. Explore Muse AI documentation for more.
Video slide demonstrates how Watch Videos and Update a Video Cover [6] nodes are used in Muse AI workflow.
Frequently asked questions
Common questions about automating Muse AI in your workflows.
Muse AI has 1 trigger, including "Watch Videos". Triggers are start points of the workflow, and automations may start from them.
Integration has 23 actions, including "Get a Video", "Get Detected Faces", and "List Videos", and more. Refer to our Muse AI Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Muse AI integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Muse AI official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Muse AI provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Muse AI or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Muse AI inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Muse AI modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Muse AI integration.
- Muse AI integration source code, module specs and credentials implementation.
- Internal Muse AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Muse AI vendor API documentation — 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.
- WEXTL® Apps Library
- WEXTL® Muse AI App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation