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Automate call centers by transcribing customer calls with Google Cloud Speech-To-Text, then using AI Agent to summarize feedback, route requests, and create reports. Build custom workflows visually and scale affordably on Latenode.
Connect AI Agent and Google Cloud Speech-To-Text in minutes with Latenode.
Create AI Agent to Google Cloud Speech-To-Text workflow
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Create a New Scenario to Connect AI Agent and Google Cloud Speech-To-Text
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find AI Agent or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.
Add the AI Agent Node
Select the AI Agent node from the app selection panel on the right.
AI Agent
Configure the AI Agent
Click on the AI Agent node to configure it. You can modify the AI Agent URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the AI Agent node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.
AI Agent
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Google Cloud Speech-To-Text
Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the AI Agent and Google Cloud Speech-To-Text 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 AI Agent and Google Cloud Speech-To-Text 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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Google Cloud Speech-To-Text
Trigger on Webhook
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Iterator
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Save and Activate the Scenario
After configuring AI Agent, Google Cloud Speech-To-Text, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the AI Agent and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between AI Agent and Google Cloud Speech-To-Text (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Cloud Speech-To-Text + AI Agent + Google Docs: Transcribe audio files from storage using Google Cloud Speech-To-Text, then use an AI Agent to summarize the transcription. Finally, append the summarized text to a specified Google Docs document.
Google Cloud Speech-To-Text + AI Agent + Slack: Transcribe customer service calls using Google Cloud Speech-To-Text, use an AI Agent to analyze sentiment, and then send an alert to a Slack channel if negative sentiment is detected.
About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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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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How can I connect my AI Agent account to Google Cloud Speech-To-Text using Latenode?
To connect your AI Agent account to Google Cloud Speech-To-Text on Latenode, follow these steps:
Can I transcribe audio and analyze sentiment?
Yes, you can! Latenode simplifies this by connecting AI Agent with the transcription results from Google Cloud Speech-To-Text, enabling you to automate sentiment analysis workflows easily.
What types of tasks can I perform by integrating AI Agent with Google Cloud Speech-To-Text?
Integrating AI Agent with Google Cloud Speech-To-Text allows you to perform various tasks, including:
How does Latenode enhance AI Agent capabilities?
Latenode enables seamless integration of AI Agent with other services, automating complex workflows through no-code or custom JavaScript logic.
Are there any limitations to the AI Agent and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: