How to connect Ghost and Google Cloud Speech-To-Text
Create a New Scenario to Connect Ghost 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 Ghost, triggered by another scenario, or executed manually (for testing purposes). In most cases, Ghost or Google Cloud Speech-To-Text will be your first step. To do this, click "Choose an app," find Ghost or Google Cloud Speech-To-Text, and select the appropriate trigger to start the scenario.

Add the Ghost Node
Select the Ghost node from the app selection panel on the right.


Ghost

Add the Google Cloud Speech-To-Text Node
Next, click the plus (+) icon on the Ghost 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 Ghost 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 Ghost 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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AI Anthropic Claude 3
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Google Cloud Speech-To-Text
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Ghost, 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 Ghost and Google Cloud Speech-To-Text integration works as expected. Depending on your setup, data should flow between Ghost 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 Ghost and Google Cloud Speech-To-Text
Ghost + Google Cloud Speech-To-Text + YouTube: When a new blog post is published on Ghost, the content is used to create a video script. The audio from the script is then used to generate speech using Google Cloud Speech-To-Text and uploaded as a video to YouTube to expand content reach.
Google Cloud Speech-To-Text + OpenAI ChatGPT + Ghost: When a long audio file is available in storage, transcribe it to text using Google Cloud Speech-To-Text. Then, use OpenAI ChatGPT to generate a blog post draft based on the transcription and create a new post in Ghost.
Ghost and Google Cloud Speech-To-Text integration alternatives

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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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 Ghost and Google Cloud Speech-To-Text
How can I connect my Ghost account to Google Cloud Speech-To-Text using Latenode?
To connect your Ghost account to Google Cloud Speech-To-Text on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Ghost and click on "Connect".
- Authenticate your Ghost and Google Cloud Speech-To-Text accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I transcribe podcast audio to Ghost posts?
Yes, you can! Latenode automates this process, converting audio files to text with Google Cloud Speech-To-Text and then automatically creating a new Ghost post. Save time and expand your content reach.
What types of tasks can I perform by integrating Ghost with Google Cloud Speech-To-Text?
Integrating Ghost with Google Cloud Speech-To-Text allows you to perform various tasks, including:
- Automatically transcribing audio content into drafts for Ghost posts.
- Adding voice-over captions to Ghost video posts via transcription.
- Creating summaries of audio content and publishing them to Ghost.
- Analyzing sentiment in spoken feedback and posting it to Ghost.
- Generating different versions of content for A/B testing on Ghost.
What Ghost content types can I automate with Latenode?
You can automate posts, pages, and custom post types, using Latenode's flexible data handling and JavaScript functions to refine content.
Are there any limitations to the Ghost 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 require more processing time for transcription.
- Google Cloud Speech-To-Text costs depend on usage volume.
- Ghost API rate limits may affect the frequency of automated posts.