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Automate personalized Qwilr proposals: use Google Cloud Text-To-Speech to generate audio summaries based on prospect data. Latenode lets you add custom logic with JavaScript and scale without per-step costs.
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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 Google Cloud Text-To-Speech will be your first step. To do this, click "Choose an app," find Qwilr or Google Cloud Text-To-Speech, 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 Google Cloud Text-To-Speech from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Text-To-Speech.

Qwilr
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Google Cloud Text-To-Speech
Now, click the Google Cloud Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Text-To-Speech settings. Authentication allows you to use Google Cloud Text-To-Speech 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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Google Cloud Text-To-Speech
Trigger on Webhook
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Qwilr
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Iterator
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Webhook response
After configuring Qwilr, Google Cloud Text-To-Speech, 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 Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Qwilr and Google Cloud Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Qwilr + Google Cloud Text-To-Speech + Email: When a Qwilr proposal is viewed, its content is converted to speech using Google Cloud Text-To-Speech. The resulting audio file is then sent as an attachment via email to the client.
Qwilr + Google Cloud Text-To-Speech + Slack: When a Qwilr proposal is viewed, its content is converted into an audio alert using Google Cloud Text-To-Speech. This audio is then sent to a designated Slack channel to notify the sales team.
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 Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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How can I connect my Qwilr account to Google Cloud Text-To-Speech using Latenode?
To connect your Qwilr account to Google Cloud Text-To-Speech on Latenode, follow these steps:
Can I automate personalized voice-over creation from Qwilr proposals?
Yes, you can! Latenode allows you to automatically trigger Google Cloud Text-To-Speech when a Qwilr proposal is updated, generating voice-overs for a more engaging client experience.
What types of tasks can I perform by integrating Qwilr with Google Cloud Text-To-Speech?
Integrating Qwilr with Google Cloud Text-To-Speech allows you to perform various tasks, including:
How do I handle Qwilr attachments within Latenode workflows?
Latenode allows you to access Qwilr attachments, parse the text content, and use it as input for Google Cloud Text-To-Speech via advanced JavaScript blocks.
Are there any limitations to the Qwilr and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: