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Transcribe calls from CloudTalk using Google Cloud Speech-To-Text, then analyze the data for agent performance insights. Latenode’s visual editor makes it simple to integrate custom logic, and its affordable pricing scales with your needs.
Connect Google Cloud Speech-To-Text and CloudTalk in minutes with Latenode.
Create Google Cloud Speech-To-Text to CloudTalk workflow
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Create a New Scenario to Connect Google Cloud Speech-To-Text and CloudTalk
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or CloudTalk will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or CloudTalk, and select the appropriate trigger to start the scenario.
Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.
Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the CloudTalk Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select CloudTalk from the list of available apps, and choose the action you need from the list of nodes within CloudTalk.
Google Cloud Speech-To-Text
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CloudTalk
Authenticate CloudTalk
Now, click the CloudTalk node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your CloudTalk settings. Authentication allows you to use CloudTalk through Latenode.
Configure the Google Cloud Speech-To-Text and CloudTalk 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 Google Cloud Speech-To-Text and CloudTalk 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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CloudTalk
Trigger on Webhook
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Google Cloud Speech-To-Text
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, CloudTalk, and any additional nodes, don’t 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 “Run once” and triggering an event to check if the Google Cloud Speech-To-Text and CloudTalk integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and CloudTalk (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
CloudTalk + Google Cloud Speech-To-Text + Slack: When a new call is received in CloudTalk, the audio is sent to Google Cloud Speech-To-Text for transcription. The resulting transcript is then summarized and sent to a designated Slack channel.
CloudTalk + Google Cloud Speech-To-Text + Google Sheets: When a new call is received in CloudTalk, the audio is sent to Google Cloud Speech-To-Text for transcription. The resulting transcript is then analyzed for keywords, and this data is added as a new row in a Google Sheet for reporting purposes.
About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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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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How can I connect my Google Cloud Speech-To-Text account to CloudTalk using Latenode?
To connect your Google Cloud Speech-To-Text account to CloudTalk on Latenode, follow these steps:
Can I transcribe voicemails and automatically update CloudTalk contacts?
Yes, you can! Latenode's visual editor makes it simple to transcribe voicemails with Google Cloud Speech-To-Text, then update CloudTalk contacts with the transcript and sentiment analysis, improving follow-up efficiency.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with CloudTalk?
Integrating Google Cloud Speech-To-Text with CloudTalk allows you to perform various tasks, including:
How does Latenode handle large volumes of CloudTalk call recordings?
Latenode scales to handle large volumes efficiently. Use parallel processing and serverless functions for quick Google Cloud Speech-To-Text transcription of all calls.
Are there any limitations to the Google Cloud Speech-To-Text and CloudTalk integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: