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Automatically transcribe meeting recordings from Moco using Deepgram on Latenode. Enhance Moco data with searchable transcripts, and refine it using Javascript code, all at a lower cost thanks to execution-based pricing.
Connect Moco and Deepgram in minutes with Latenode.
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Create a New Scenario to Connect Moco and Deepgram
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 Moco, triggered by another scenario, or executed manually (for testing purposes). In most cases, Moco or Deepgram will be your first step. To do this, click "Choose an app," find Moco or Deepgram, and select the appropriate trigger to start the scenario.
Add the Moco Node
Select the Moco node from the app selection panel on the right.
Moco
Add the Deepgram Node
Next, click the plus (+) icon on the Moco node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.
Moco
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Deepgram
Authenticate Deepgram
Now, click the Deepgram node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Deepgram settings. Authentication allows you to use Deepgram through Latenode.
Configure the Moco and Deepgram 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 Moco and Deepgram Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Deepgram
Trigger on Webhook
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Moco
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Moco, Deepgram, 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 Moco and Deepgram integration works as expected. Depending on your setup, data should flow between Moco and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Moco + Deepgram + Slack: When a new event is recorded in Moco, the audio file is transcribed using Deepgram. The resulting transcription is then sent as a message to a designated Slack channel for quick review.
Deepgram + Moco + Google Docs: Customer calls transcribed by Deepgram trigger creation of a new contact in Moco. The call transcript is then appended to a Google Docs document for record-keeping and analysis.
About Moco
Use Moco in Latenode to track time and expenses. Automate reporting, invoice creation, and project budget monitoring. Connect Moco to accounting or CRM systems for streamlined financial workflows. Build flexible, customized solutions without code, and scale automations as your business grows inside Latenode's visual environment.
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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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How can I connect my Moco account to Deepgram using Latenode?
To connect your Moco account to Deepgram on Latenode, follow these steps:
Can I analyze recorded meeting audio from Moco with Deepgram?
Yes, you can! Latenode enables seamless audio analysis from Moco using Deepgram. Automate transcriptions and gain insights from your meetings effortlessly with our visual editor.
What types of tasks can I perform by integrating Moco with Deepgram?
Integrating Moco with Deepgram allows you to perform various tasks, including:
Can I filter Moco data before sending it to Deepgram for processing?
Yes, Latenode's visual editor allows you to filter and transform Moco data before sending it to Deepgram, ensuring only relevant information is processed.
Are there any limitations to the Moco and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: