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Automatically collect transcribed video captions from Caption AI in Basin forms. Latenode's visual editor simplifies capturing feedback, while affordable execution costs let you scale caption improvement workflows using AI.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β 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 Basin will be your first step. To do this, click "Choose an app," find Caption AI or Basin, and select the appropriate trigger to start the scenario.

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

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.
Next, click the plus (+) icon on the Caption AI node, select Basin from the list of available apps, and choose the action you need from the list of nodes within Basin.

Caption AI
β
Basin
Now, click the Basin node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Basin settings. Authentication allows you to use Basin through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Basin
Trigger on Webhook
β
Caption AI
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β
Iterator
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Webhook response
After configuring Caption AI, Basin, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Caption AI and Basin integration works as expected. Depending on your setup, data should flow between Caption AI and Basin (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Basin + Caption AI + Slack: When a new submission is received in Basin, use Caption AI to generate a caption for the form data. Then, send the form data and generated caption to a specified Slack channel for review.
Basin + Caption AI + Google Sheets: When a new form is submitted via Basin, the data is saved to a Google Sheet. Caption AI generates a summary of the data, and that summary is also saved to the Google Sheet.
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 Basin
Use Basin inside Latenode to capture form submissions without server-side code. Connect form data to any app via REST API or Webhooks, triggering automated workflows. Validate, transform, and route data with Latenode's visual editor, enhancing lead management and data collection, and avoiding back-end setup.
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How can I connect my Caption AI account to Basin using Latenode?
To connect your Caption AI account to Basin on Latenode, follow these steps:
Can I automate form submissions from Basin using AI-generated captions?
Yes, you can! Latenode allows you to automatically generate captions with Caption AI for data submitted through Basin forms, streamlining content creation and enhancing your marketing workflows.
What types of tasks can I perform by integrating Caption AI with Basin?
Integrating Caption AI with Basin allows you to perform various tasks, including:
How does Latenode handle Caption AI API request limits?
Latenode's robust architecture manages API calls efficiently, allowing you to scale your Caption AI automations effectively while minimizing the risk of exceeding rate limits.
Are there any limitations to the Caption AI and Basin integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: