How to connect Google Cloud Speech-To-Text and Monday
Create a New Scenario to Connect Google Cloud Speech-To-Text and Monday
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 Monday will be your first step. To do this, click "Choose an app," find Google Cloud Speech-To-Text or Monday, 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 Monday Node
Next, click the plus (+) icon on the Google Cloud Speech-To-Text node, select Monday from the list of available apps, and choose the action you need from the list of nodes within Monday.

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Authenticate Monday
Now, click the Monday node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Monday settings. Authentication allows you to use Monday through Latenode.
Configure the Google Cloud Speech-To-Text and Monday 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 Monday 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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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Monday, 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 Monday integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Monday (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 Monday
Google Cloud Speech-To-Text + Monday + Slack: When a long audio file is available in storage, Google Cloud Speech-To-Text transcribes it. The transcription is then used to create an update in Monday. Finally, a Slack message is sent to a specified channel notifying the team about the new update.
Monday + Google Cloud Speech-To-Text + Gmail: When a specific column in a Monday item is updated, the flow triggers Google Cloud Speech-To-Text to recognize speech from a predefined source. The recognized text is used as the body of a new email sent via Gmail, acting as a completion report.
Google Cloud Speech-To-Text and Monday 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 Monday
Sync Monday boards with other apps in Latenode to automate project updates and task management. Trigger actions in other systems (like sending emails or updating databases) based on Monday status changes. Visualize and customize workflows easily, scaling automations without complex code or per-step fees.
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FAQ Google Cloud Speech-To-Text and Monday
How can I connect my Google Cloud Speech-To-Text account to Monday using Latenode?
To connect your Google Cloud Speech-To-Text account to Monday 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 Monday accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe voicemails into Monday updates?
Yes, you can! With Latenode, automatically transcribe voicemails using Google Cloud Speech-To-Text, then post the transcript as a Monday update, keeping teams instantly informed of important messages.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Monday?
Integrating Google Cloud Speech-To-Text with Monday allows you to perform various tasks, including:
- Automatically creating Monday items from transcribed customer support calls.
- Transcribing meeting recordings and adding action items to Monday.
- Generating project updates in Monday based on voice notes.
- Populating Monday fields with data extracted from audio files.
- Analyzing customer feedback from voice surveys directly within Monday.
HowsecureistheGoogleCloudSpeech-To-TextintegrationwithinLatenode?
Latenodeemploysrobustsecuritymeasurestoensureyourdataisprotected,includingencryptionandsecureauthenticationprotocols,keepingyourworkflowsconfidential.
Are there any limitations to the Google Cloud Speech-To-Text and Monday integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times due to API limits.
- Customization of the speech recognition model is limited to Google Cloud Speech-To-Text capabilities.
- Complex workflow logic may require JavaScript for advanced data manipulation.