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Automatically transcribe meeting recordings from Motion with Deepgram, then use Latenodeβs visual editor and JavaScript blocks to analyze transcripts, extract action items, and share summaries. Scale affordably by paying only for execution time.
Connect Deepgram and Motion in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

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 Deepgram, triggered by another scenario, or executed manually (for testing purposes). In most cases, Deepgram or Motion will be your first step. To do this, click "Choose an app," find Deepgram or Motion, and select the appropriate trigger to start the scenario.

Select the Deepgram node from the app selection panel on the right.

Deepgram
Click on the Deepgram node to configure it. You can modify the Deepgram URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Deepgram node, select Motion from the list of available apps, and choose the action you need from the list of nodes within Motion.

Deepgram
β
Motion
Now, click the Motion node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Motion settings. Authentication allows you to use Motion through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
β
Motion
Trigger on Webhook
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Deepgram
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Iterator
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Webhook response
After configuring Deepgram, Motion, 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Deepgram and Motion integration works as expected. Depending on your setup, data should flow between Deepgram and Motion (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Deepgram + Motion + Slack: When a pre-recorded audio file is available via URL, Deepgram transcribes it. Motion analyzes the transcription to identify key moments, and Slack sends these highlights to a designated channel.
Google Calendar + Deepgram + Google Calendar: When a new event is added to Google Calendar, Deepgram transcribes the audio from the event. Then, a link to the transcript is added to event details in Google Calendar.
About Deepgram
Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.
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About Motion
Use Motion in Latenode to auto-schedule tasks and projects based on real-time data. Trigger Motion updates from other apps, or update other tools when Motion tasks change. Connect it to your CRM or calendar, and automate team workflows. The low-code editor simplifies customization, ensuring tasks are prioritized and deadlines are met across all platforms.
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How can I connect my Deepgram account to Motion using Latenode?
To connect your Deepgram account to Motion on Latenode, follow these steps:
Can I automatically create Motion tasks from Deepgram transcriptions?
Yes, you can! Latenode allows you to parse Deepgram transcripts and automatically create tasks in Motion, saving time and improving project management efficiency. Scale with no-code ease!
What types of tasks can I perform by integrating Deepgram with Motion?
Integrating Deepgram with Motion allows you to perform various tasks, including:
How does Latenode enhance Deepgram transcription processing?
Latenode enables advanced pre/post-processing with JavaScript, AI, and data transformation before sending data to or from Deepgram.
Are there any limitations to the Deepgram and Motion integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: