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Use OpenAI Vision to analyze images, then use Captions to generate engaging social media posts. Latenode lets you fully customize this process with JavaScript, scaling affordably by paying only for execution time.
Connect OpenAI Vision and Captions in minutes with Latenode.
Create OpenAI Vision to Captions workflow
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Create a New Scenario to Connect OpenAI Vision and Captions
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI Vision, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Vision or Captions will be your first step. To do this, click "Choose an app," find OpenAI Vision or Captions, and select the appropriate trigger to start the scenario.
Add the OpenAI Vision Node
Select the OpenAI Vision node from the app selection panel on the right.
OpenAI Vision
Configure the OpenAI Vision
Click on the OpenAI Vision node to configure it. You can modify the OpenAI Vision URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Captions Node
Next, click the plus (+) icon on the OpenAI Vision node, select Captions from the list of available apps, and choose the action you need from the list of nodes within Captions.
OpenAI Vision
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Captions
Authenticate Captions
Now, click the Captions node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Captions settings. Authentication allows you to use Captions through Latenode.
Configure the OpenAI Vision and Captions 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 OpenAI Vision and Captions Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Captions
Trigger on Webhook
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OpenAI Vision
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring OpenAI Vision, Captions, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the OpenAI Vision and Captions integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Captions (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Slack + Captions + Google Sheets: When a new file is added to a Slack channel, a video generation request is submitted to Captions. Once the video generation is complete, the status and other details are saved to a Google Sheet.
Google Sheets + Captions + Slack: When a new row is added to a Google Sheet, a video generation request is submitted to Captions. The AI generated video details are then sent to a specified Slack channel.
About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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About Captions
Need accurate, automated captions for videos? Integrate Captions with Latenode to generate and sync subtitles across platforms. Automate video accessibility for marketing, training, or support. Latenode adds scheduling, file handling, and error control to Captions, making scalable captioning workflows simple and efficient.
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How can I connect my OpenAI Vision account to Captions using Latenode?
To connect your OpenAI Vision account to Captions on Latenode, follow these steps:
Can I automatically generate captions for images using OpenAI Vision?
Yes, with Latenode! Automate captions by sending images to OpenAI Vision, then use the output in Captions. Latenode's no-code blocks simplify the entire process, saving time and effort.
What types of tasks can I perform by integrating OpenAI Vision with Captions?
Integrating OpenAI Vision with Captions allows you to perform various tasks, including:
Can I use custom prompts with OpenAI Vision in my Latenode workflows?
Yes! Latenode supports custom prompts for OpenAI Vision, giving you full control to refine image analysis and caption generation for specific needs.
Are there any limitations to the OpenAI Vision and Captions integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: