How to connect Google Cloud Text-To-Speech and Linear
Create a New Scenario to Connect Google Cloud Text-To-Speech and Linear
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 Text-To-Speech, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Text-To-Speech or Linear will be your first step. To do this, click "Choose an app," find Google Cloud Text-To-Speech or Linear, and select the appropriate trigger to start the scenario.

Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.


Google Cloud Text-To-Speech

Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Linear Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Linear from the list of available apps, and choose the action you need from the list of nodes within Linear.


Google Cloud Text-To-Speech
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Linear


Authenticate Linear
Now, click the Linear node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Linear settings. Authentication allows you to use Linear through Latenode.
Configure the Google Cloud Text-To-Speech and Linear 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 Text-To-Speech and Linear 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.

JavaScript
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AI Anthropic Claude 3
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Linear
Trigger on Webhook
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Google Cloud Text-To-Speech
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Iterator
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Webhook response


Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Linear, 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 Text-To-Speech and Linear integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Linear (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 Text-To-Speech and Linear
Linear + Google Cloud Text-To-Speech + Slack: When a new issue is created in Linear, its description is converted to speech using Google Cloud Text-To-Speech, and then posted as a message in a designated Slack channel for quick team updates.
Linear + Google Cloud Text-To-Speech + Discord bot: When a new issue is created in Linear, the description is converted to speech using Google Cloud Text-To-Speech, and the synthesized speech can be sent to a Discord bot to post a message in a specific channel.
Google Cloud Text-To-Speech and Linear integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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About Linear
Connect Linear to Latenode for automated issue tracking. Streamline bug reporting from various sources. Automatically create Linear issues from form submissions or customer support tickets. Update issue statuses based on events in other systems like Git or CI/CD pipelines, all within a scalable, low-code workflow.
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FAQ Google Cloud Text-To-Speech and Linear
How can I connect my Google Cloud Text-To-Speech account to Linear using Latenode?
To connect your Google Cloud Text-To-Speech account to Linear on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and Linear accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Linear tickets from audio transcriptions?
Yes, you can. Latenode's visual editor enables seamless connections, automatically creating Linear issues from Google Cloud Text-To-Speech transcriptions. This saves time and improves team workflow.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Linear?
Integrating Google Cloud Text-To-Speech with Linear allows you to perform various tasks, including:
- Create Linear issues from transcribed customer support call summaries.
- Automatically generate tasks for bug fixes reported via voice recordings.
- Transcribe meeting notes and create action items as Linear tickets.
- Convert voice feedback into actionable development tasks in Linear.
- Log audio-based user stories directly as Linear issues using AI prompts.
Can I customize the voice used for Linear issue updates?
Yes, with Latenode you can select specific Google Cloud Text-To-Speech voices. Tailor notifications to match team preferences for clarity and efficiency.
Are there any limitations to the Google Cloud Text-To-Speech and Linear integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times.
- Transcription accuracy depends on audio quality and language complexity.
- Custom voice settings are subject to Google Cloud Text-To-Speech availability.