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

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Authenticate Avaza
Now, click the Avaza node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Avaza settings. Authentication allows you to use Avaza through Latenode.
Configure the Google Cloud Speech-To-Text and Avaza 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 Avaza 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 Google Cloud Speech-To-Text, Avaza, 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 Avaza integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Avaza (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 Avaza
Google Cloud Speech-To-Text + Avaza + Slack: Transcribes audio from Google Cloud Storage using Speech-To-Text, creates a task in Avaza with the transcription, and sends the transcription to a dedicated Slack channel.
Avaza + Google Cloud Speech-To-Text + Google Docs: When a project is created in Avaza, it triggers the transcription of related audio from Google Cloud Storage. The transcription is then saved into a newly created Google Docs document.
Google Cloud Speech-To-Text and Avaza 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 Avaza
Automate project management with Avaza in Latenode. Create flows that sync tasks, track time, and manage expenses automatically. Use Latenode's visual editor to tailor Avaza workflows and connect them to other apps. Streamline reporting and billing cycles with no-code logic and custom scripts for efficient project oversight.
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FAQ Google Cloud Speech-To-Text and Avaza
How can I connect my Google Cloud Speech-To-Text account to Avaza using Latenode?
To connect your Google Cloud Speech-To-Text account to Avaza 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 Avaza accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe client calls to Avaza projects?
Yes, you can! Latenode lets you automatically transcribe calls using Google Cloud Speech-To-Text and log them as tasks or updates within specified Avaza projects, streamlining documentation.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Avaza?
Integrating Google Cloud Speech-To-Text with Avaza allows you to perform various tasks, including:
- Automatically transcribe meeting recordings and add them to Avaza projects.
- Create Avaza tasks from dictated notes captured via Google Cloud Speech-To-Text.
- Log support calls as time entries within Avaza using speech recognition.
- Update project statuses in Avaza based on voice commands via Google Cloud.
- Analyze client feedback from voice recordings and categorize it in Avaza.
What Google Cloud Speech-To-Text configurations are available?
Latenode supports various Google Cloud Speech-To-Text configurations, including language selection, noise cancellation, and diarization for richer data.
Are there any limitations to the Google Cloud Speech-To-Text and Avaza integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of transcriptions depends on the audio quality and clarity.
- Large audio files may take longer to process.
- Avaza API rate limits may affect high-volume integrations.