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

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Authenticate Scoro
Now, click the Scoro node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Scoro settings. Authentication allows you to use Scoro through Latenode.
Configure the Google Cloud Speech-To-Text and Scoro 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 Scoro 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, Scoro, 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 Scoro integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Scoro (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 Scoro
Google Cloud Speech-To-Text + Scoro + Slack: When Google Cloud Speech-To-Text recognizes long audio from storage, the workflow updates the corresponding project notes in Scoro and sends a summary of the transcribed content to a specified Slack channel.
Scoro + Google Cloud Speech-To-Text + Google Docs: When a project is created or updated in Scoro, transcribe the audio from a specified storage location using Google Cloud Speech-To-Text, and then save the transcribed text to a new Google Docs document.
Google Cloud Speech-To-Text and Scoro 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 Scoro
Use Scoro in Latenode to automate project & client management tasks. Automatically sync data between Scoro and other tools, like accounting or marketing platforms. Create custom workflows to streamline sales, billing, or reporting, using Latenode’s visual editor and flexible API for deeper integration.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Scoro
How can I connect my Google Cloud Speech-To-Text account to Scoro using Latenode?
To connect your Google Cloud Speech-To-Text account to Scoro 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 Scoro accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create tasks from transcribed audio?
Yes, Latenode automates task creation in Scoro from Google Cloud Speech-To-Text transcriptions. Streamline project management by converting spoken notes into actionable items instantly, without manual data entry.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Scoro?
Integrating Google Cloud Speech-To-Text with Scoro allows you to perform various tasks, including:
- Create Scoro tasks from meeting recordings.
- Update project statuses based on voice commands.
- Generate summaries of customer calls directly in Scoro.
- Log billable hours based on spoken time entries.
- Automatically create project briefs from dictated notes.
What Google Cloud Speech-To-Text configurations are supported?
Latenode supports various configurations, including language selection, noise cancellation, and custom vocabulary via no-code blocks or code.
Are there any limitations to the Google Cloud Speech-To-Text and Scoro integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files might require processing time.
- The accuracy of transcriptions depends on audio quality.
- Real-time transcription has rate limits depending on the plan.