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

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Authenticate Google Cloud Speech-To-Text
Now, click the Google Cloud Speech-To-Text node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Speech-To-Text settings. Authentication allows you to use Google Cloud Speech-To-Text through Latenode.
Configure the Inoreader and Google Cloud Speech-To-Text 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 Speech-To-Text 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Inoreader, Google Cloud Speech-To-Text, 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 Speech-To-Text integration works as expected. Depending on your setup, data should flow between Inoreader and Google Cloud Speech-To-Text (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 Speech-To-Text
Inoreader + Google Cloud Speech-To-Text + Slack: When a new article appears in a specified Inoreader folder, the audio content linked within the article is transcribed using Google Cloud Speech-To-Text. A summary of the transcription is then posted to a designated Slack channel.
Google Cloud Speech-To-Text + Inoreader + Google Docs: When Google Cloud Speech-To-Text completes an asynchronous transcription, the resulting text is appended to a specified Google Docs document. Inoreader monitors the Google Docs for content updates and can perform associated actions such as sharing.
Inoreader and Google Cloud Speech-To-Text 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 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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See how Latenode works
FAQ Inoreader and Google Cloud Speech-To-Text
How can I connect my Inoreader account to Google Cloud Speech-To-Text using Latenode?
To connect your Inoreader account to Google Cloud Speech-To-Text 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 Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Inoreader audio content using speech-to-text?
Yes, easily! Latenode lets you automate audio transcription from Inoreader using Google Cloud Speech-To-Text, saving time and providing searchable text from audio articles with AI-powered accuracy.
What types of tasks can I perform by integrating Inoreader with Google Cloud Speech-To-Text?
Integrating Inoreader with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe audio articles saved in Inoreader to text.
- Create searchable notes from Inoreader audio content.
- Archive and analyze spoken information from podcast feeds.
- Convert audio summaries to written reports automatically.
- Extract keywords from spoken content for better content tagging.
How does Latenode enhance Inoreader automation capabilities?
Latenode enables advanced workflows, combining Inoreader triggers with Google Cloud Speech-To-Text for fully automated, customized content processing.
Are there any limitations to the Inoreader and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may take significant time to process.
- Transcription accuracy depends on audio quality and language.
- Rate limits of both Inoreader and Google Cloud Speech-To-Text apply.