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Automatically enrich audio transcriptions: Send Google Cloud Speech-To-Text results to Data Enrichment for deeper insights. Latenode’s visual editor and affordable execution pricing make scaling advanced audio analysis workflows easy.
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Google Cloud Speech-To-Text
Data Enrichment
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Create a New Scenario to Connect Google Cloud Speech-To-Text and Data Enrichment
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 Data Enrichment will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Data Enrichment, 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 Data Enrichment Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Data Enrichment from the list of available apps, and choose the action you need from the list of nodes within Data Enrichment.
Google Cloud Speech-To-Text
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Data Enrichment
Authenticate Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment through Latenode.
Configure the Google Cloud Speech-To-Text and Data Enrichment 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 Data Enrichment 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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Data Enrichment
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, Data Enrichment, 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 Data Enrichment integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Cloud Speech-To-Text + Data Enrichment + Salesforce: When a new audio file related to a sales call is stored, Google Cloud Speech-To-Text transcribes the audio. The extracted lead information is then enriched, and Salesforce is updated with the enriched lead data, or a new lead is created if one doesn't exist.
Google Cloud Speech-To-Text + Data Enrichment + Slack: When podcast audio is transcribed using Google Cloud Speech-To-Text, speaker data is extracted and enriched. A Slack message is then sent to a designated channel notifying team members with the enriched speaker information.
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 Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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How can I connect my Google Cloud Speech-To-Text account to Data Enrichment using Latenode?
To connect your Google Cloud Speech-To-Text account to Data Enrichment on Latenode, follow these steps:
Can I enrich transcribed customer feedback with demographic data?
Yes, you can. Latenode allows seamless data transformation, letting you use AI to analyze speech and then enrich findings with demographics, improving insights faster.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Data Enrichment?
Integrating Google Cloud Speech-To-Text with Data Enrichment allows you to perform various tasks, including:
What file formats are supported for Google Cloud Speech-To-Text on Latenode?
Latenode supports all audio formats compatible with Google Cloud Speech-To-Text, providing flexibility for diverse audio source integration into workflows.
Are there any limitations to the Google Cloud Speech-To-Text and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: