Deepgram and Wave Integration

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Automate Wave invoices from Deepgram transcriptions on Latenode. Use no-code to extract billable hours, add custom logic with JavaScript, and scale affordably by paying only for execution time.

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Deepgram

Wave

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and Wave

Create a New Scenario to Connect Deepgram and Wave

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 Wave will be your first step. To do this, click "Choose an app," find Deepgram or Wave, 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

Sign In

Run node once

Add the Wave Node

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

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Authenticate Wave

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

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Sign In

Run node once

Configure the Deepgram and Wave 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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The action ID

Run node once

Set Up the Deepgram and Wave 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, Wave, 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 Wave integration works as expected. Depending on your setup, data should flow between Deepgram and Wave (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 Wave

Wave + Deepgram + Slack: When a new invoice is created in Wave, Deepgram summarizes a related audio file from a URL, and then posts key takeaways to a dedicated Slack channel.

Wave + Deepgram + Google Sheets: When a new customer is created in Wave, Deepgram transcribes a call recording from a provided URL, and logs identified keywords into a Google Sheet.

Deepgram and Wave 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 Wave

Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.

See how Latenode works

FAQ Deepgram and Wave

How can I connect my Deepgram account to Wave using Latenode?

To connect your Deepgram account to Wave 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 Wave accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I transcribe Wave calls using Deepgram?

Yes, you can! Latenode allows seamless automated transcription of Wave calls via Deepgram. Get call transcripts delivered directly, saving time and improving analysis, thanks to Latenode's visual workflow builder.

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

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

  • Automatically transcribe recorded Wave calls using Deepgram's AI.
  • Analyze call sentiment from Wave using Deepgram and send reports.
  • Create searchable archives of Wave calls with Deepgram transcripts.
  • Trigger actions in other apps based on keywords found in Wave calls.
  • Monitor customer support calls in Wave and flag urgent issues.

What Deepgram features can I use with Wave via Latenode?

You can leverage Deepgram's diarization, sentiment analysis, and keyword detection within Latenode to enhance your Wave communication workflows. Access advanced AI features with ease!

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

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

  • Large Wave call files might take longer to process through Deepgram.
  • Real-time transcription is not directly supported due to API constraints.
  • Custom Deepgram model training requires separate configuration outside Latenode.

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