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How to connect Miro and Google Cloud Speech-To-Text
Create a New Scenario to Connect Miro 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 Miro, triggered by another scenario, or executed manually (for testing purposes). In most cases, Miro or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Miro or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.
Add the Miro Node
Select the Miro 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 Miro 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 Miro 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 Miro 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 Miro, 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 Miro and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Miro 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 Miro and Google Cloud Speech-To-Text
Miro + Google Cloud Speech-To-Text + Slack: When a new or updated item is added to a Miro board, extract any associated audio, transcribe it using Google Cloud Speech-To-Text, and send the transcription to a specified Slack channel.
Miro + Google Cloud Speech-To-Text + Google Docs: When a new or updated item appears on a Miro board, process any audio attachments by transcribing them into text using Google Cloud Speech-To-Text. Append this transcribed text to a Google Docs document, creating a compiled record of audio feedback.
Miro and Google Cloud Speech-To-Text integration alternatives
About Miro
Automate Miro board updates based on triggers from other apps. Latenode connects Miro to your workflows, enabling automatic creation of cards, text, or frames. Update Miro based on data from CRMs, databases, or project management tools, reducing manual work. Perfect for agile project tracking and visual process management, inside fully automated scenarios.
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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 Miro and Google Cloud Speech-To-Text
How can I connect my Miro account to Google Cloud Speech-To-Text using Latenode?
To connect your Miro account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Miro and click on "Connect".
- Authenticate your Miro and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Miro whiteboard audio recordings automatically?
Yes, you can! Latenode's visual editor makes it simple to trigger Google Cloud Speech-To-Text when new audio is added to Miro, generating transcriptions automatically, and enhancing collaboration.
What types of tasks can I perform by integrating Miro with Google Cloud Speech-To-Text?
Integrating Miro with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing meeting recordings from Miro whiteboards.
- Analyzing voice feedback collected on Miro boards for sentiment.
- Generating summaries of brainstorming sessions using transcribed text.
- Creating searchable archives of spoken content from Miro presentations.
- Adding captions to video tutorials embedded within Miro boards.
Can I use Javascript for advanced processing of Miro data?
Yes! Latenode allows you to use Javascript to manipulate Miro data, like extracting specific board elements, before processing them with Google Cloud Speech-To-Text.
Are there any limitations to the Miro 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 take longer to process through Google Cloud Speech-To-Text.
- The accuracy of transcriptions depends on the audio quality and language support of Google Cloud Speech-To-Text.
- Complex Miro boards with many elements may require more resources for data extraction.
