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

Add the Google Dialogflow ES Node
Select the Google Dialogflow ES node from the app selection panel on the right.

Google Dialogflow ES
Configure the Google Dialogflow ES
Click on the Google Dialogflow ES node to configure it. You can modify the Google Dialogflow ES 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 Dialogflow ES node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

Google Dialogflow ES
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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 Dialogflow ES 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 Dialogflow ES 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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Deepgram
Trigger on Webhook
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Google Dialogflow ES
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Webhook response

Save and Activate the Scenario
After configuring Google Dialogflow ES, 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 Dialogflow ES and Deepgram integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES 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 Dialogflow ES and Deepgram
Google Dialogflow ES + Deepgram + Salesforce: When a call is transcribed by Deepgram from a URL, Google Dialogflow ES detects the intent of the call. This intent is then used to update a record in Salesforce, providing sales insights.
Zoom + Deepgram + Google Dialogflow ES: When a Zoom recording is completed, Deepgram transcribes the audio. Google Dialogflow ES then detects the intent of the meeting and identifies key topics.
Google Dialogflow ES and Deepgram integration alternatives
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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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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See how Latenode works
FAQ Google Dialogflow ES and Deepgram
How can I connect my Google Dialogflow ES account to Deepgram using Latenode?
To connect your Google Dialogflow ES account to Deepgram on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and Deepgram accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call center audio with sentiment analysis using Google Dialogflow ES and Deepgram integration?
Yes, you can. Latenode’s visual editor simplifies combining Deepgram’s transcription with Google Dialogflow ES's intent recognition, enabling instant sentiment analysis and efficient agent feedback.
What types of tasks can I perform by integrating Google Dialogflow ES with Deepgram?
Integrating Google Dialogflow ES with Deepgram allows you to perform various tasks, including:
- Transcribing customer service calls for quality assurance and training.
- Analyzing voice data from chatbots to improve response accuracy.
- Automating meeting transcription and action item extraction.
- Creating voice-enabled applications with real-time transcription.
- Building interactive voice response (IVR) systems with advanced speech recognition.
How do I handle errors when Google Dialogflow ES fails on Latenode?
Latenode lets you use advanced error handling blocks and conditional logic to manage Google Dialogflow ES failures and retry failed requests automatically.
Are there any limitations to the Google Dialogflow ES and Deepgram integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require optimized processing for efficient transcription.
- Google Dialogflow ES and Deepgram API usage is subject to their respective rate limits.
- Custom JavaScript code might be needed for very specific or complex data transformations.