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

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Authenticate AI: Text-To-Speech
Now, click the AI: 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 AI: Text-To-Speech settings. Authentication allows you to use AI: Text-To-Speech through Latenode.
Configure the Inoreader and AI: 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 AI: 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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AI Anthropic Claude 3
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AI: Text-To-Speech
Trigger on Webhook
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Inoreader
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Webhook response
Save and Activate the Scenario
After configuring Inoreader, AI: 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 AI: Text-To-Speech integration works as expected. Depending on your setup, data should flow between Inoreader and AI: 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 AI: Text-To-Speech
Inoreader + AI: Text-To-Speech + Telegram: When a new article appears in a specified Inoreader folder, the article text is converted to speech using AI, and then sent as an audio file to a Telegram channel.
Inoreader + AI: Text-To-Speech + Google Drive: When a new starred article appears in Inoreader, its text is converted to audio via AI and saved as an audio file to a specified folder in Google Drive for later listening.
Inoreader and AI: 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 AI: Text-To-Speech
Automate voice notifications or generate audio content directly within Latenode. Convert text from any source (CRM, databases, etc.) into speech for automated alerts, personalized messages, or content creation. Latenode streamlines text-to-speech workflows and eliminates manual audio tasks, integrating seamlessly with your existing data and apps.
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See how Latenode works
FAQ Inoreader and AI: Text-To-Speech
How can I connect my Inoreader account to AI: Text-To-Speech using Latenode?
To connect your Inoreader account to AI: 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 AI: Text-To-Speech accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I convert new Inoreader articles into audio files?
Yes, you can! Latenode's visual editor makes it simple to trigger AI: Text-To-Speech from new Inoreader articles. Automate audio creation for podcasts, accessibility, and more.
What types of tasks can I perform by integrating Inoreader with AI: Text-To-Speech?
Integrating Inoreader with AI: Text-To-Speech allows you to perform various tasks, including:
- Automatically generating audio summaries of newly saved Inoreader articles.
- Creating personalized audio news feeds based on your Inoreader subscriptions.
- Building a workflow to share audio versions of articles to social media.
- Transcribing articles to audio for accessibility purposes and offline listening.
- Sending synthesized speech snippets via other messaging apps using Latenode.
How does Latenode handle Inoreader content updates or changes?
Latenode monitors Inoreader for new content and triggers your workflows automatically. Real-time automation keeps your audio up-to-date, effortlessly.
Are there any limitations to the Inoreader and AI: Text-To-Speech integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The length of the article that can be converted is limited by the AI: Text-To-Speech service.
- The quality of the audio output depends on the AI: Text-To-Speech service chosen.
- Rate limits imposed by Inoreader may affect the frequency of data retrieval.