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

Add the Google Cloud Text-To-Speech Node
Select the Google Cloud Text-To-Speech node from the app selection panel on the right.


Google Cloud Text-To-Speech

Configure the Google Cloud Text-To-Speech
Click on the Google Cloud Text-To-Speech node to configure it. You can modify the Google Cloud Text-To-Speech URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Caption AI Node
Next, click the plus (+) icon on the Google Cloud Text-To-Speech node, select Caption AI from the list of available apps, and choose the action you need from the list of nodes within Caption AI.


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Caption AI

Authenticate Caption AI
Now, click the Caption AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Caption AI settings. Authentication allows you to use Caption AI through Latenode.
Configure the Google Cloud Text-To-Speech and Caption AI 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 Text-To-Speech and Caption AI 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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Caption AI
Trigger on Webhook
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Google Cloud Text-To-Speech
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Save and Activate the Scenario
After configuring Google Cloud Text-To-Speech, Caption AI, 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 Text-To-Speech and Caption AI integration works as expected. Depending on your setup, data should flow between Google Cloud Text-To-Speech and Caption AI (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 Text-To-Speech and Caption AI
Google Cloud Text-To-Speech + Caption AI + YouTube: Automatically generate captions for new YouTube videos. When a new video is uploaded, the audio is extracted and converted to text using Google Cloud Text-To-Speech, then Caption AI generates the captions and uploads them to the YouTube video.
Podcast + Google Cloud Text-To-Speech + YouTube: Convert podcast transcripts to audio and upload it to YouTube for accessibility. When a new podcast is released and transcribed, the transcript is converted to audio using Google Cloud Text-To-Speech, then uploaded to YouTube as a video.
Google Cloud Text-To-Speech and Caption AI integration alternatives

About Google Cloud Text-To-Speech
Use Google Cloud Text-To-Speech in Latenode to automate voice notifications, generate audio content from text, and create dynamic IVR systems. Integrate it into any workflow with a drag-and-drop interface. No code is required, and it's fully customizable with JavaScript for complex text manipulations. Automate voice tasks efficiently without vendor lock-in.
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About Caption AI
Caption AI in Latenode streamlines content creation. Generate captions from images or videos directly within your workflows. Automate social media posting, ad campaigns, or content archiving. Latenode's visual editor and flexible integrations reduce manual work and allow for personalized, automated caption generation at scale, without code.
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See how Latenode works
FAQ Google Cloud Text-To-Speech and Caption AI
How can I connect my Google Cloud Text-To-Speech account to Caption AI using Latenode?
To connect your Google Cloud Text-To-Speech account to Caption AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud Text-To-Speech and click on "Connect".
- Authenticate your Google Cloud Text-To-Speech and Caption AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate audio descriptions for videos automatically?
Yes, you can! Latenode's visual editor simplifies integrating Google Cloud Text-To-Speech and Caption AI, automating video accessibility and enhancing user experience.
What types of tasks can I perform by integrating Google Cloud Text-To-Speech with Caption AI?
Integrating Google Cloud Text-To-Speech with Caption AI allows you to perform various tasks, including:
- Automatically create audio tracks from video captions.
- Generate subtitles for spoken content from audio files.
- Create accessible training materials by automating voiceover creation.
- Produce multi-language audio from existing translated captions.
- Transcribe audio and then synthesize it in different voices.
How do I customize voices in Latenode using Google Cloud Text-To-Speech?
Latenode lets you use Google Cloud Text-To-Speech's advanced voice customization options to tailor audio output to specific needs.
Are there any limitations to the Google Cloud Text-To-Speech and Caption AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large volumes of data may impact processing time.
- Complex audio requiring fine-tuned captions might need manual review.
- Integration relies on the availability and API limits of both services.