How to connect Inoreader and Google Cloud Text-To-Speech
Create a New Scenario to Connect Inoreader and Google Cloud Text-To-Speech
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Inoreader, triggered by another scenario, or executed manually (for testing purposes). In most cases, Inoreader or Google Cloud Text-To-Speech will be your first step. To do this, click "Choose an app," find Inoreader or Google Cloud Text-To-Speech, and select the appropriate trigger to start the scenario.

Add the Inoreader Node
Select the Inoreader node from the app selection panel on the right.

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

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Authenticate Google Cloud Text-To-Speech
Now, click the Google Cloud Text-To-Speech node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Text-To-Speech settings. Authentication allows you to use Google Cloud Text-To-Speech through Latenode.
Configure the Inoreader and Google Cloud Text-To-Speech 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 Inoreader and Google Cloud Text-To-Speech 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 donβt 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 Inoreader, Google Cloud Text-To-Speech, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Inoreader and Google Cloud Text-To-Speech integration works as expected. Depending on your setup, data should flow between Inoreader and Google Cloud Text-To-Speech (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Inoreader and Google Cloud Text-To-Speech
Inoreader + Google Cloud Text-To-Speech + Telegram: When a new article appears in a specified Inoreader folder, its content is converted to speech using Google Cloud Text-To-Speech, and the resulting audio file is sent to a Telegram channel.
Inoreader + Google Cloud Text-To-Speech + Pushbullet: When a new article is starred in Inoreader, the article's text is converted to speech using Google Cloud Text-To-Speech, and a Pushbullet notification is sent containing the audio.
Inoreader and Google Cloud Text-To-Speech integration alternatives
About Inoreader
Aggregate and filter news feeds in Inoreader, then use Latenode to automate actions based on specific articles. Trigger alerts, update databases, or post to social media directly from your curated content. Use Latenode's visual editor and JavaScript node to refine filtering and formatting rules far beyond Inoreader's native options.
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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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FAQ Inoreader and Google Cloud Text-To-Speech
How can I connect my Inoreader account to Google Cloud Text-To-Speech using Latenode?
To connect your Inoreader account to Google Cloud Text-To-Speech on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Inoreader and click on "Connect".
- Authenticate your Inoreader and Google Cloud Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I convert Inoreader articles to audio?
Yes, you can! Latenode simplifies the process, allowing you to automatically convert new Inoreader articles into audio files via Google Cloud Text-To-Speech for convenient listening.
What types of tasks can I perform by integrating Inoreader with Google Cloud Text-To-Speech?
Integrating Inoreader with Google Cloud Text-To-Speech allows you to perform various tasks, including:
- Automatically creating audio versions of newly saved Inoreader articles.
- Generating podcasts from curated Inoreader content using AI-powered steps.
- Creating personalized audio news digests from specific Inoreader feeds.
- Setting up daily audio briefings based on Inoreader keyword searches.
- Building a system to archive and listen to articles for accessibility.
HowdoIensureInoreadercontentiscorrectlyformattedforGoogleCloudText-To-Speech?
Latenode allows you to use JavaScript code blocks to pre-process the Inoreader article content before converting it to audio for better results.
Are there any limitations to the Inoreader and Google Cloud Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of articles may take time to process due to API rate limits.
- Audio quality is dependent on the configuration within Google Cloud Text-To-Speech.
- Complex article formatting may require custom pre-processing scripts.