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How to connect Monday and Google Cloud Speech-To-Text
Create a New Scenario to Connect Monday 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 Monday, triggered by another scenario, or executed manually (for testing purposes). In most cases, Monday or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Monday or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.
Add the Monday Node
Select the Monday node from the app selection panel on the right.
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Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Monday 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 Monday 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 Monday 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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Save and Activate the Scenario
After configuring Monday, 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 Monday and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Monday 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 Monday and Google Cloud Speech-To-Text
Monday + Google Cloud Speech-To-Text + Slack: When a new item is created in Monday, the automation triggers a Google Cloud Speech-To-Text action to recognize speech from an audio file stored in Google Cloud Storage. Once the transcription is complete, the automation sends a summary of the transcription to a specified Slack channel.
Monday + Google Cloud Speech-To-Text + Google Docs: When a specific column in Monday is updated, the automation sends an audio file URL to Google Cloud Speech-To-Text for transcription. After the transcription is complete, it creates a new Google Docs document with the transcribed text and then creates an update in the Monday item linking to this document.
Monday and Google Cloud Speech-To-Text integration alternatives
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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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
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FAQ Monday and Google Cloud Speech-To-Text
How can I connect my Monday account to Google Cloud Speech-To-Text using Latenode?
To connect your Monday account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Monday and click on "Connect".
- Authenticate your Monday and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe call recordings directly into Monday updates?
Yes, you can! Latenode's visual editor simplifies this, automatically adding transcriptions to Monday, improving task management and accessibility instantly.
What types of tasks can I perform by integrating Monday with Google Cloud Speech-To-Text?
Integrating Monday with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe customer feedback from audio files to Monday.
- Create Monday tasks from voice notes using Speech-To-Text.
- Analyze sentiment from transcribed audio and update Monday item statuses.
- Generate meeting summaries in Monday after transcribing the audio.
- Append call center transcripts to relevant items within Monday.
How do I handle long audio files within a Monday Latenode workflow?
Latenode lets you split long audio files into smaller chunks for processing, ensuring seamless Google Cloud Speech-To-Text transcription without timeout errors.
Are there any limitations to the Monday and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Cloud Speech-To-Text has its own usage quotas that could affect large volumes.
- The accuracy of transcriptions depends on the audio quality provided.
- Initial setup requires basic understanding of cloud service authentication.
