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

Add the Google Cloud Speech-To-Text Node
Select the Google Cloud Speech-To-Text node from the app selection panel on the right.

Google Cloud Speech-To-Text
Configure the Google Cloud Speech-To-Text
Click on the Google Cloud Speech-To-Text node to configure it. You can modify the Google Cloud Speech-To-Text URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Quentn Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Quentn from the list of available apps, and choose the action you need from the list of nodes within Quentn.

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Authenticate Quentn
Now, click the Quentn node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Quentn settings. Authentication allows you to use Quentn through Latenode.
Configure the Google Cloud Speech-To-Text and Quentn 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 Google Cloud Speech-To-Text and Quentn 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Quentn, 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 Google Cloud Speech-To-Text and Quentn integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Quentn (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud Speech-To-Text and Quentn
Google Cloud Speech-To-Text + Quentn + Slack: When a long audio file is available in storage, Google Cloud Speech-To-Text transcribes it. The transcription is then added to a contact's notes in Quentn. Finally, if specific keywords are detected (e.g., 'urgent,' 'problem'), a message is sent to a designated Slack channel to flag the issue.
Quentn + Google Cloud Speech-To-Text + OpenAI ChatGPT: When a contact in Quentn has updated data, particularly if a new voice note is added, Google Cloud Speech-To-Text summarizes the voice note. This summary, combined with other contact data, is sent to OpenAI ChatGPT to generate a personalized follow-up email.
Google Cloud Speech-To-Text and Quentn integration alternatives
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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About Quentn
Use Quentn in Latenode to automate email marketing based on triggers from other apps. Build flows that add or update contacts, manage lists, and send personalized campaigns. Centralize all data in Latenode and use its tools to filter and modify customer data from Quentn without complex code.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Quentn
How can I connect my Google Cloud Speech-To-Text account to Quentn using Latenode?
To connect your Google Cloud Speech-To-Text account to Quentn on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Speech-To-Text and click on "Connect".
- Authenticate your Google Cloud Speech-To-Text and Quentn accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Quentn contacts from transcribed audio?
Yes, you can! Use Latenode to link Google Cloud Speech-To-Text transcriptions to Quentn, automatically updating contact details. Improve data accuracy and personalize outreach based on spoken feedback.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Quentn?
Integrating Google Cloud Speech-To-Text with Quentn allows you to perform various tasks, including:
- Add contacts to Quentn based on voice data extracted from audio files.
- Update contact fields in Quentn with summarized transcriptions.
- Trigger email sequences in Quentn based on keywords spoken in audio.
- Segment Quentn contacts based on sentiment analysis of voice data.
- Create Quentn tasks to follow up leads from transcribed voicemails.
What kind of audio files does Google Cloud Speech-To-Text support on Latenode?
Latenode supports audio files compatible with Google Cloud Speech-To-Text, including MP3, WAV, and FLAC formats, enhancing integration flexibility.
Are there any limitations to the Google Cloud Speech-To-Text and Quentn integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Transcription accuracy depends on audio quality and language complexity.
- Quentn API rate limits may affect the speed of large data updates.
- Complex workflow logic may require JavaScript knowledge.