How to connect Qwilr and Google Cloud Speech-To-Text
Create a New Scenario to Connect Qwilr and Google Cloud Speech-To-Text
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 Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Qwilr or Google Cloud Speech-To-Text, 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.

Qwilr
Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Qwilr node, select Google Cloud Speech-To-Text from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Speech-To-Text.

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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Qwilr and Google Cloud Speech-To-Text Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Qwilr and Google Cloud Speech-To-Text 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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AI Anthropic Claude 3
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Google Cloud Speech-To-Text
Trigger on Webhook
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Save and Activate the Scenario
After configuring Qwilr, Google Cloud Speech-To-Text, 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 Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Qwilr and Google Cloud Speech-To-Text (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 Google Cloud Speech-To-Text
Google Cloud Speech-To-Text + Qwilr + Slack: Transcribe audio from client feedback calls using Google Cloud Speech-To-Text, then use the transcription data to create a new Qwilr page with client feedback. Send a summary and a link to the Qwilr page to the relevant sales channel in Slack.
Google Cloud Speech-To-Text + Qwilr + HubSpot: Transcribe customer testimonials using Google Cloud Speech-To-Text, update HubSpot contacts with the testimonial data, and automatically generate personalized Qwilr proposals using this testimonial data.
Qwilr and Google Cloud Speech-To-Text 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.
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About Google Cloud Speech-To-Text
Automate audio transcription using Google Cloud Speech-To-Text within Latenode. Convert audio files to text and use the results to populate databases, trigger alerts, or analyze customer feedback. Latenode provides visual tools to manage the flow, plus code options for custom parsing or filtering. Scale voice workflows without complex coding.
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See how Latenode works
FAQ Qwilr and Google Cloud Speech-To-Text
How can I connect my Qwilr account to Google Cloud Speech-To-Text using Latenode?
To connect your Qwilr account to Google Cloud Speech-To-Text 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 Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically transcribe client testimonials from Qwilr proposals?
Yes, you can! Latenode allows you to automate this using a no-code workflow, streamlining feedback analysis and improving proposal effectiveness efficiently.
What types of tasks can I perform by integrating Qwilr with Google Cloud Speech-To-Text?
Integrating Qwilr with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Transcribing audio feedback embedded in Qwilr proposals for sentiment analysis.
- Automatically generating text summaries of spoken client testimonials.
- Creating searchable archives of voice notes from Qwilr acceptance pages.
- Converting spoken instructions in Qwilr projects into written tasks.
- Extracting key phrases from recorded sales pitches within Qwilr.
How can I trigger workflows based on Qwilr proposal status changes?
You can set up triggers in Latenode to initiate actions when a Qwilr proposal is viewed, accepted, or declined, automating follow-up tasks.
Are there any limitations to the Qwilr and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require significant processing time.
- Speech-to-text accuracy depends on audio quality and language nuances.
- Real-time transcription within Qwilr proposals is not directly supported.