Qwilr and Deepgram Integration

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Automatically generate Qwilr proposals from Deepgram transcriptions, creating dynamic sales materials from meeting recordings. Latenode's visual editor simplifies complex logic and cuts costs with execution-based pricing.

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Qwilr

Deepgram

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Qwilr and Deepgram

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

Add the Qwilr Node

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

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Qwilr

Configure the Qwilr

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

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Sign In

Run node once

Add the Deepgram Node

Next, click the plus (+) icon on the Qwilr 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 Qwilr 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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Select an action *

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Run node once

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

Deepgram + Qwilr + Google Meet: When a call recording is available at a URL, Deepgram transcribes the audio. The transcript is then used to create a personalized Qwilr proposal. Finally, a follow-up meeting is scheduled in Google Meet.

Deepgram + HubSpot + Qwilr: When a new call engagement is created in HubSpot, Deepgram transcribes the associated audio file from a URL. The transcript is then used to update the corresponding contact in HubSpot, triggering the creation of a tailored Qwilr proposal.

Qwilr and Deepgram integration alternatives

About Qwilr

Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.

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 Qwilr and Deepgram

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

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

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

Can I transcribe client testimonials from Qwilr videos via Deepgram?

Yes, you can! Latenode allows you to automate this, extracting audio from Qwilr videos and transcribing it with Deepgram. Analyze customer feedback faster and improve your sales strategies.

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

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

  • Automatically transcribe audio/video content embedded in Qwilr proposals.
  • Analyze transcribed Qwilr content for sentiment and key topics.
  • Index Qwilr proposal audio for easy searching and retrieval.
  • Generate summaries of lengthy Qwilr proposals using AI.
  • Extract action items from client feedback within Qwilr documents.

How can I automatically update Qwilr proposals based on Deepgram analysis?

Using Latenode, you can create workflows that trigger updates to Qwilr based on insights gleaned from Deepgram transcriptions, ensuring your proposals always reflect the latest data.

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

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

  • Large audio/video files in Qwilr may exceed Deepgram's processing limits.
  • Custom Qwilr video formats might require additional conversion steps.
  • Deepgram transcription accuracy depends on audio quality.

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