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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.
Connect Qwilr and Deepgram in minutes with Latenode.
Create Qwilr to Deepgram workflow
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In the workspace, click the “Create New Scenario” button.

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.

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

Qwilr
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.

Qwilr
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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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Deepgram
Trigger on Webhook
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Qwilr
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Iterator
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Webhook response
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.
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.
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.
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.
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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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How can I connect my Qwilr account to Deepgram using Latenode?
To connect your Qwilr account to Deepgram on Latenode, follow these steps:
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:
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: