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

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Authenticate Feedly
Now, click the Feedly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Feedly settings. Authentication allows you to use Feedly through Latenode.
Configure the Google Cloud Speech-To-Text and Feedly 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 Feedly 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Feedly, 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 Feedly integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Feedly (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 Feedly
Feedly + Google Cloud Speech-To-Text + Slack: When a new article appears in a Feedly feed, its content is sent to Google Cloud Speech-To-Text to be transcribed (assuming the content is audio). The transcription is then sent to a designated Slack channel.
Feedly + Google Cloud Speech-To-Text + Slack: Monitors a Feedly feed for new articles, extracts the article content, and uses Google Cloud Speech-To-Text to transcribe it. A summary (or the entire transcription, depending on length) is then sent to a specified Slack channel.
Google Cloud Speech-To-Text and Feedly 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 Feedly
Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.
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See how Latenode works
FAQ Google Cloud Speech-To-Text and Feedly
How can I connect my Google Cloud Speech-To-Text account to Feedly using Latenode?
To connect your Google Cloud Speech-To-Text account to Feedly 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 Feedly accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe audio and then post summaries to Feedly?
Yes, you can! Latenode simplifies this with its visual editor. Automatically transcribe audio using Google Cloud Speech-To-Text, then use AI to summarize it and publish to Feedly, saving you time.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Feedly?
Integrating Google Cloud Speech-To-Text with Feedly allows you to perform various tasks, including:
- Automatically transcribe podcast audio and add it to a Feedly feed.
- Create a feed of summarized audio news reports from specific sources.
- Transcribe customer support calls and post summaries to a Feedly channel.
- Monitor mentions by converting audio/video to text, then filtering into Feedly.
- Automatically summarize voice notes and post them to a private Feedly board.
How secure is my Google Cloud Speech-To-Text data on Latenode?
Latenode uses secure authentication protocols to protect your data, ensuring your Google Cloud Speech-To-Text and Feedly information remains safe during integration and workflow execution.
Are there any limitations to the Google Cloud Speech-To-Text and Feedly 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 API limits.
- Feedly API rate limits may affect the frequency of updates to your feeds.
- Custom JavaScript code requires technical knowledge and careful error handling.