How to connect Google Cloud Speech-To-Text and Deepgram
Create a New Scenario to Connect Google Cloud Speech-To-Text 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 Cloud Speech-To-Text, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Speech-To-Text or Deepgram will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Deepgram, 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 Deepgram Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text 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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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 Speech-To-Text 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 Speech-To-Text 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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AI Anthropic Claude 3
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Deepgram
Trigger on Webhook
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Google Cloud Speech-To-Text
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, 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 Cloud Speech-To-Text and Deepgram integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text 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 Cloud Speech-To-Text and Deepgram
Google Cloud Speech-To-Text + Deepgram + Google Docs: Transcribe audio using Google Cloud Speech-To-Text and Deepgram. Compare the transcripts and create a new Google Doc with the preferred transcript.
Google Cloud Speech-To-Text + Deepgram + Slack: Transcribe audio using Google Cloud Speech-To-Text and Deepgram. If the difference in voice recognition quality exceeds a defined threshold, send an alert to a specified Slack channel.
Google Cloud Speech-To-Text and Deepgram integration alternatives
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 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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FAQ Google Cloud Speech-To-Text and Deepgram
How can I connect my Google Cloud Speech-To-Text account to Deepgram using Latenode?
To connect your Google Cloud Speech-To-Text account to Deepgram on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Deepgram accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio and then analyze sentiment?
Yes, you can easily transcribe audio using Google Cloud Speech-To-Text, pass the text to Deepgram for sentiment analysis, and automate follow-up actions—all within Latenode's visual workflow builder.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Deepgram?
Integrating Google Cloud Speech-To-Text with Deepgram allows you to perform various tasks, including:
- Transcribing customer service calls for quality assurance.
- Analyzing meeting recordings for key insights and action items.
- Automating content creation from spoken audio.
- Building voice-enabled applications with sentiment analysis.
- Processing podcast audio for transcripts and topic detection.
How secure is Google Cloud Speech-To-Text data on Latenode?
Latenode employs robust security measures, including encryption and access controls, ensuring data privacy when processing with Google Cloud Speech-To-Text.
Are there any limitations to the Google Cloud Speech-To-Text and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Accuracy depends on audio quality and language complexities.
- Advanced Deepgram features may require a paid Deepgram account.