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Automatically share Captions' transcripts and summaries in Slack channels. Latenode's visual editor and affordable execution pricing simplify advanced notification workflows and custom alerts based on transcript content.
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Create a New Scenario to Connect Slack and Captions
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Slack, triggered by another scenario, or executed manually (for testing purposes). In most cases, Slack or Captions will be your first step. To do this, click "Choose an app," find Slack or Captions, and select the appropriate trigger to start the scenario.
Add the Slack Node
Select the Slack node from the app selection panel on the right.
Slack
Add the Captions Node
Next, click the plus (+) icon on the Slack node, select Captions from the list of available apps, and choose the action you need from the list of nodes within Captions.
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Captions
Authenticate Captions
Now, click the Captions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Captions settings. Authentication allows you to use Captions through Latenode.
Configure the Slack and Captions Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Slack and Captions Integration
Use various Latenode nodes to transform data and enhance your integration:
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Captions
Trigger on Webhook
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Slack
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Slack, Captions, and any additional nodes, donβt forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking βRun onceβ and triggering an event to check if the Slack and Captions integration works as expected. Depending on your setup, data should flow between Slack and Captions (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Slack + Captions + Google Drive: When a new message is posted in a Slack channel, this automation checks if the message contains a meeting transcript or captions. If so, it uploads the transcript/captions to a specified folder in Google Drive for archival purposes.
Zoom + Captions + Slack: When a Zoom recording is completed, this automation retrieves the generated captions from Captions and automatically posts them to a designated Slack channel, providing a quick summary of the meeting.
About Slack
Send Slack messages and automate channel updates directly from Latenode workflows. Get instant alerts on critical events, share data insights, or trigger actions based on user input. Centralize notifications and approvals by combining Slack with databases, CRMs, and AI models within a scalable, low-code environment.
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About Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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How can I connect my Slack account to Captions using Latenode?
To connect your Slack account to Captions on Latenode, follow these steps:
Can I automatically post Captions transcripts to Slack?
Yes, you can! Latenode's visual editor makes it simple to automatically post Captions transcripts to a designated Slack channel. Keep your team informed effortlessly with automated updates.
What types of tasks can I perform by integrating Slack with Captions?
Integrating Slack with Captions allows you to perform various tasks, including:
HowtohandleSlackmessagesbasedonsentimentanalysisinLatenode?
Latenode allows you to analyze Slack message sentiment using AI steps, then automatically trigger corresponding actions in Captions based on the detected emotion.
Are there any limitations to the Slack and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: