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How to connect Feedly and Google Cloud Speech-To-Text
Create a New Scenario to Connect Feedly and Google Cloud Speech-To-Text
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 Feedly, triggered by another scenario, or executed manually (for testing purposes). In most cases, Feedly or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Feedly or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.
Add the Feedly Node
Select the Feedly node from the app selection panel on the right.
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Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Feedly 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 Feedly 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 Feedly 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 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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Save and Activate the Scenario
After configuring Feedly, Google Cloud Speech-To-Text, 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 Feedly and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Feedly 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 Feedly and Google Cloud Speech-To-Text
Feedly + Google Cloud Speech-To-Text + Slack: When a new article appears in a Feedly feed, this automation uses Google Cloud Speech-To-Text to recognize speech from an associated audio file (if available). The recognized text, representing a summary, is then posted to a designated Slack channel for team updates.
Google Cloud Speech-To-Text + Feedly + Google Docs: This workflow begins with audio processed by Google Cloud Speech-To-Text, converting it into text. Subsequently, it searches Feedly for related articles using keywords extracted from the transcribed text. Finally, it compiles the initial transcription and links to the relevant Feedly articles into a new Google Document.
Feedly and Google Cloud Speech-To-Text integration alternatives
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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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
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FAQ Feedly and Google Cloud Speech-To-Text
How can I connect my Feedly account to Google Cloud Speech-To-Text using Latenode?
To connect your Feedly account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Feedly and click on "Connect".
- Authenticate your Feedly and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe Feedly audio articles?
Yes, you can! Latenode simplifies audio transcription via Google Cloud Speech-To-Text. Access key insights from audio content without manual listening, saving time and effort.
What types of tasks can I perform by integrating Feedly with Google Cloud Speech-To-Text?
Integrating Feedly with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribe audio from Feedly articles into searchable text.
- Analyze the sentiment of transcribed text using AI blocks within Latenode.
- Create summaries of Feedly articles using prompt-based AI steps.
- Forward transcribed audio content to other applications like Slack.
- Store transcribed audio for archival and compliance purposes.
Can I use Javascript with my Feedly automations inside Latenode?
Yes! Latenode's code block lets you add custom Javascript to modify data, control flow, and enhance your Feedly workflows.
Are there any limitations to the Feedly and Google Cloud Speech-To-Text integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of audio transcription may incur costs from Google Cloud Speech-To-Text.
- Feedly API rate limits may affect the speed of fetching articles.
- Real-time transcription is not supported; processing is asynchronous.
