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

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

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

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Authenticate Google Cloud Translate
Now, click the Google Cloud Translate node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Translate settings. Authentication allows you to use Google Cloud Translate through Latenode.
Configure the Caption AI and Google Cloud Translate 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 Caption AI and Google Cloud Translate 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Caption AI, Google Cloud Translate, 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 Caption AI and Google Cloud Translate integration works as expected. Depending on your setup, data should flow between Caption AI and Google Cloud Translate (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Caption AI and Google Cloud Translate
Caption AI + Google Cloud Translate + Slack: When a video translation request is submitted to Caption AI, the translated text is sent to a specified Slack channel to notify global teams.
YouTube + Google Cloud Translate + Caption AI: When a new video is uploaded to YouTube, its title and description are translated using Google Cloud Translate. A video translation request is then submitted to Caption AI to generate translated subtitles.
Caption AI and Google Cloud Translate integration alternatives
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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About Google Cloud Translate
Automate multilingual workflows with Google Cloud Translate in Latenode. Translate text on-the-fly within any automation: localize content from web forms, translate support tickets, or adapt marketing copy for global audiences. Integrate it into complex flows and control translation logic visually, with optional JS coding for custom rules.
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See how Latenode works
FAQ Caption AI and Google Cloud Translate
How can I connect my Caption AI account to Google Cloud Translate using Latenode?
To connect your Caption AI account to Google Cloud Translate on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Caption AI and click on "Connect".
- Authenticate your Caption AI and Google Cloud Translate accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically translate video captions?
Yes, you can! Latenode lets you automate caption translation using a visual interface, creating workflows that streamline content localization and reach wider audiences efficiently.
What types of tasks can I perform by integrating Caption AI with Google Cloud Translate?
Integrating Caption AI with Google Cloud Translate allows you to perform various tasks, including:
- Translate video captions into multiple languages automatically.
- Create multilingual subtitles for global content distribution.
- Automate the localization workflow for video marketing campaigns.
- Sync translated captions across different video platforms.
- Extract captions, translate them, and save them in a database.
How does Latenode handle large volumes of Caption AI translations?
Latenode’s architecture scales automatically to handle high volumes, processing large Caption AI translation tasks efficiently without performance bottlenecks.
Are there any limitations to the Caption AI and Google Cloud Translate integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- The accuracy of translations depends on Google Cloud Translate's capabilities.
- Large video files may take longer to process, depending on API limits.
- Custom glossaries must be configured within Google Cloud Translate.