Deepgram and Landbot.io Integration

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Transcribe voice messages from Landbot.io chats into text using Deepgram for analysis or storage. Latenode’s visual editor makes setup simple, and you pay only for the execution time, scaling affordably.

Swap Apps

Deepgram

Landbot.io

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and Landbot.io

Create a New Scenario to Connect Deepgram and Landbot.io

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

Add the Deepgram Node

Select the Deepgram node from the app selection panel on the right.

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Deepgram

Configure the Deepgram

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

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Connect Deepgram

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Run node once

Add the Landbot.io Node

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

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Landbot.io

Authenticate Landbot.io

Now, click the Landbot.io node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Landbot.io settings. Authentication allows you to use Landbot.io through Latenode.

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Configure the Deepgram and Landbot.io 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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Landbot.io Oauth 2.0

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The action ID

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Run node once

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

Most powerful ways to connect Deepgram and Landbot.io

Landbot.io + Deepgram + Google Sheets: When a user submits a voice response through Landbot.io, the audio is transcribed using Deepgram, and the transcription is then saved in a Google Sheets spreadsheet for analysis.

Landbot.io + Deepgram + Zendesk: When a customer leaves a voicemail via Landbot.io, Deepgram transcribes the audio and Zendesk creates a new ticket with the transcription added as a comment.

Deepgram and Landbot.io integration alternatives

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.

About Landbot.io

Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.

See how Latenode works

FAQ Deepgram and Landbot.io

How can I connect my Deepgram account to Landbot.io using Latenode?

To connect your Deepgram account to Landbot.io on Latenode, follow these steps:

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

Can I transcribe customer voice messages automatically?

Yes, you can! Latenode enables seamless integration, allowing Deepgram to transcribe voice messages received in Landbot.io, instantly providing insights for improved customer service.

What types of tasks can I perform by integrating Deepgram with Landbot.io?

Integrating Deepgram with Landbot.io allows you to perform various tasks, including:

  • Transcribing voice responses collected via Landbot.io into actionable text.
  • Analyzing customer sentiment from voice interactions within your chatbots.
  • Creating automated summaries of customer conversations for support teams.
  • Triggering actions based on keywords detected in transcribed audio.
  • Storing transcribed audio data and transcripts for future analysis.

Can I use Deepgram’s diarizationfeature within Latenode workflows?

Yes, Latenode supports Deepgram's advanced features like diarization. Enhance transcript analysis by identifying different speakers within Landbot.io conversations.

Are there any limitations to the Deepgram and Landbot.io integration on Latenode?

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

  • Complex audio processing may consume more Latenode execution units.
  • Real-time transcription speeds depend on Deepgram's API availability.
  • Advanced Deepgram features require appropriate plan subscriptions.

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