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

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Authenticate Fibery
Now, click the Fibery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Fibery settings. Authentication allows you to use Fibery through Latenode.
Configure the Google Cloud Speech-To-Text and Fibery 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 Fibery 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, Fibery, 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 Fibery integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Fibery (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 Fibery
Google Cloud Speech-To-Text + Fibery + Slack: When a new audio file is added to a specified storage location, Google Cloud Speech-To-Text transcribes the audio. The transcribed text is then used to create a new task in Fibery. Finally, a Slack message is sent to a designated channel notifying the team about the new task and its transcription.
Fibery + Google Cloud Speech-To-Text + Google Docs: When a new or updated entity (e.g., meeting notes) is created in Fibery, the automation triggers. If the entity contains a link to an audio file, Google Cloud Speech-To-Text transcribes the audio. The resulting text is then appended to a specified Google Docs document.
Google Cloud Speech-To-Text and Fibery 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 Fibery
Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.
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FAQ Google Cloud Speech-To-Text and Fibery
How can I connect my Google Cloud Speech-To-Text account to Fibery using Latenode?
To connect your Google Cloud Speech-To-Text account to Fibery 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 Fibery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Fibery tasks from voice notes?
Yes, you can! Latenode lets you use Google Cloud Speech-To-Text to transcribe audio and then automatically create tasks in Fibery, saving time and improving workflow efficiency.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Fibery?
Integrating Google Cloud Speech-To-Text with Fibery allows you to perform various tasks, including:
- Transcribing customer support calls and logging insights into Fibery.
- Creating tasks from meeting recordings, assigning action items automatically.
- Analyzing voice feedback from users and adding feature requests to Fibery.
- Generating project documentation from spoken notes directly into Fibery.
- Automatically updating project status in Fibery based on voice commands.
HowsecureisGoogleCloudSpeech-To-TextdatawhenusingLatenode?
Latenode uses secure authentication protocols and encryption to protect your data during Google Cloud Speech-To-Text and Fibery integration.
Are there any limitations to the Google Cloud Speech-To-Text and Fibery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take longer to process, depending on Google Cloud Speech-To-Text's processing capacity.
- The accuracy of the transcription depends on the audio quality and clarity of speech.
- Complex Fibery data structures may require advanced Latenode configuration.