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

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Ghost

Authenticate Ghost
Now, click the Ghost node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Ghost settings. Authentication allows you to use Ghost through Latenode.
Configure the Google Cloud Speech-To-Text and Ghost 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 Ghost 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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Ghost
Trigger on Webhook
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Google Cloud Speech-To-Text
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud Speech-To-Text, Ghost, 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 Ghost integration works as expected. Depending on your setup, data should flow between Google Cloud Speech-To-Text and Ghost (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 Ghost
Google Cloud Speech-To-Text + Ghost + Google Docs: Automatically transcribes audio notes from Google Cloud Speech-To-Text, creates a blog post draft in Ghost, and saves a copy of the transcribed text to Google Docs.
Ghost + Google Cloud Speech-To-Text + Twitter: When a new blog post is published on Ghost, the audio summary is transcribed using Google Cloud Speech-To-Text, and a social media post is created and scheduled on Twitter (This action is not available, so the flow stops after transcription).
Google Cloud Speech-To-Text and Ghost 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 Ghost
Integrate Ghost with Latenode to automate content workflows. Automatically publish new posts, manage member data, or trigger email campaigns. Use Latenode's visual editor and flexible nodes to build custom workflows around Ghost, bypassing manual tasks and scaling content operations without code. Connect Ghost to other apps to streamline your publishing process.
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FAQ Google Cloud Speech-To-Text and Ghost
How can I connect my Google Cloud Speech-To-Text account to Ghost using Latenode?
To connect your Google Cloud Speech-To-Text account to Ghost 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 Ghost accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate podcast transcription to Ghost post?
Yes, easily! Latenode's visual editor and AI blocks simplify audio transcription and Ghost post creation. Benefit: publish spoken content faster and engage your audience effectively.
What types of tasks can I perform by integrating Google Cloud Speech-To-Text with Ghost?
Integrating Google Cloud Speech-To-Text with Ghost allows you to perform various tasks, including:
- Automatically transcribing audio files and saving them as drafts in Ghost.
- Creating summaries of audio content for Ghost blog post introductions.
- Generating captions for videos embedded in your Ghost posts.
- Using AI to refine transcriptions before publishing on your Ghost blog.
- Triggering Ghost content updates based on speech analysis results.
Can Latenode handle large Google Cloud Speech-To-Text files?
Yes, Latenode is built to handle large files. Leverage our serverless environment, JavaScript blocks and efficient file parsing.
Are there any limitations to the Google Cloud Speech-To-Text and Ghost integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of transcriptions depends on the audio quality provided to Google Cloud Speech-To-Text.
- Large audio files may require longer processing times.
- Complex workflow logic may require JavaScript knowledge for customization.