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Automatically transcribe CloudTalk calls using Deepgram for quality assurance and agent training. Latenode's visual editor simplifies setup, while affordable execution costs let you scale call analysis without breaking the bank.
Connect CloudTalk and Deepgram 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 CloudTalk, triggered by another scenario, or executed manually (for testing purposes). In most cases, CloudTalk or Deepgram will be your first step. To do this, click "Choose an app," find CloudTalk or Deepgram, and select the appropriate trigger to start the scenario.

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

CloudTalk
Click on the CloudTalk node to configure it. You can modify the CloudTalk 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 CloudTalk node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

CloudTalk
β
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.
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
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Deepgram
Trigger on Webhook
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CloudTalk
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Iterator
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Webhook response
After configuring CloudTalk, 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the CloudTalk and Deepgram integration works as expected. Depending on your setup, data should flow between CloudTalk and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
CloudTalk + Deepgram + Salesforce: When a new call is registered in CloudTalk, its audio is transcribed using Deepgram. The transcript is then analyzed for specific keywords, and these keywords, along with the transcript, are logged as a new record to the corresponding customer's record in Salesforce.
CloudTalk + Deepgram + Google Sheets: When a new call is completed in CloudTalk, Deepgram summarizes the call. The summary and call details are then added as a new row to a Google Sheet for reporting purposes.
About CloudTalk
Automate CloudTalk call and SMS data within Latenode. Trigger workflows on new calls, messages, or agent status changes. Update CRMs, send alerts, or generate reports automatically. Use Latenode's visual editor and data transformation tools to customize call center automations without complex coding, and scale your workflows efficiently.
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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 CloudTalk account to Deepgram using Latenode?
To connect your CloudTalk account to Deepgram on Latenode, follow these steps:
Can I transcribe voicemails and analyze sentiment?
Yes, you can! Latenode lets you automate this using no-code blocks and even AI steps for sentiment analysis. Get actionable insights from customer interactions faster.
What types of tasks can I perform by integrating CloudTalk with Deepgram?
Integrating CloudTalk with Deepgram allows you to perform various tasks, including:
How does Latenode handle high call volumes from CloudTalk?
Latenode's scalable architecture efficiently processes large volumes of data from CloudTalk, ensuring timely Deepgram transcription and analysis.
Are there any limitations to the CloudTalk and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: