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Automate audio analysis by converting text to speech with Google Cloud Text-To-Speech, then transcribing it using Deepgram. Latenode's visual editor and affordable pricing make rapid iteration and scaling effortless, while custom JS blocks add unparalleled flexibility.
Connect Google Cloud Text-To-Speech and Deepgram in minutes with Latenode.
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Create a New Scenario to Connect Google Cloud Text-To-Speech and Deepgram
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 Google Cloud Text-To-Speech, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Text-To-Speech or Deepgram will be your first step. To do this, click "Choose an app," find Google Cloud Text-To-Speech or Deepgram, and select the appropriate trigger to start the scenario.
Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.
Google Cloud Text-To-Speech
Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Deepgram Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.
Google Cloud Text-To-Speech
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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 Google Cloud Text-To-Speech 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 Google Cloud Text-To-Speech 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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Google Cloud Text-To-Speech
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Deepgram, 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 Google Cloud Text-To-Speech and Deepgram integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Deepgram + Google Cloud Text-To-Speech + Slack: When a new audio file is available, Deepgram transcribes the audio. Then, Google Cloud Text-To-Speech synthesizes a summary of the transcription. Finally, Slack sends the summary to a designated channel.
Deepgram + HubSpot: When a new call engagement is created in HubSpot, Deepgram transcribes the call recording. Sentiment analysis of the transcript is then used to update the contact's properties in HubSpot.
About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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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 Google Cloud Text-To-Speech account to Deepgram using Latenode?
To connect your Google Cloud Text-To-Speech account to Deepgram on Latenode, follow these steps:
Can I automate voice-to-text translation using both services?
Yes, you can! Latenode's visual editor lets you chain Google Cloud Text-To-Speech and Deepgram. Automate translations, generate summaries, and process audio data without code. Scale effortlessly.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Deepgram?
Integrating Google Cloud Text-To-Speech with Deepgram allows you to perform various tasks, including:
Can I adjust text-to-speech parameters directly within Latenode?
Yes, Latenode allows you to set Google Cloud Text-To-Speech parameters, like voice and speed, optimizing your workflow's output directly.
Are there any limitations to the Google Cloud Text-To-Speech and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: