Google AI and Deepgram Integration

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Use Deepgram to transcribe audio, then Google AI for sentiment analysis and summarization, all within Latenode’s visual editor. Customize your AI logic with JavaScript, scale affordably by paying only for execution time, and gain insights from audio data faster.

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Google AI

Deepgram

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Deepgram

Create a New Scenario to Connect Google AI and Deepgram

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 AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or Deepgram will be your first step. To do this, click "Choose an app," find Google AI or Deepgram, and select the appropriate trigger to start the scenario.

Add the Google AI Node

Select the Google AI node from the app selection panel on the right.

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Configure the Google AI

Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Deepgram Node

Next, click the plus (+) icon on the Google AI node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

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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.

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Sign In

Run node once

Configure the Google AI 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.

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Run node once

Set Up the Google AI and Deepgram Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google AI, Deepgram, 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 AI and Deepgram integration works as expected. Depending on your setup, data should flow between Google AI and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AI and Deepgram

Deepgram + Google AI + Google docs: Transcribe a prerecorded audio file from a URL using Deepgram. Then, send the transcription to Google AI to generate a summary. Finally, create a new Google Doc from the summary text.

Deepgram + Google AI + Slack: Transcribe a prerecorded audio file from a URL using Deepgram. Then use Google AI to analyze the transcription and identify action items. Finally, post the identified action items to a dedicated Slack channel.

Google AI and Deepgram integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

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.

See how Latenode works

FAQ Google AI and Deepgram

How can I connect my Google AI account to Deepgram using Latenode?

To connect your Google AI account to Deepgram on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google AI and click on "Connect".
  • Authenticate your Google AI and Deepgram accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I transcribe audio with sentiment analysis?

Yes, you can easily transcribe audio using Deepgram and analyze the sentiment using Google AI. Latenode's visual editor makes it drag-and-drop simple, unlocking valuable insights from audio data.

What types of tasks can I perform by integrating Google AI with Deepgram?

Integrating Google AI with Deepgram allows you to perform various tasks, including:

  • Automatically transcribe customer service calls and analyze sentiment.
  • Generate summaries of podcast episodes with speaker diarization.
  • Extract key topics and sentiment from voice-based surveys.
  • Create real-time closed captions for live streams with sentiment tracking.
  • Analyze audio files for emotion to improve content recommendations.

How to use Google AI’s advanced models within a Deepgram workflow?

Latenode lets you use Google AI models directly within Deepgram workflows with no-code blocks or custom JavaScript for ultimate control and customization.

Are there any limitations to the Google AI and Deepgram integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Rate limits imposed by Google AI and Deepgram may affect performance.
  • Large audio files may require significant processing time.
  • Custom model training for both services requires separate subscriptions.

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