How to connect OpenAI Vision and Captions
Create a New Scenario to Connect OpenAI Vision and Captions
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 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.

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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:
- 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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Save and Activate the Scenario
After configuring OpenAI Vision, Captions, 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 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.
Most powerful ways to connect OpenAI Vision and Captions
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.
OpenAI Vision and Captions integration alternatives
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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FAQ OpenAI Vision and Captions
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:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Vision and click on "Connect".
- Authenticate your OpenAI Vision and Captions accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
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:
- Creating social media posts with AI-generated image descriptions.
- Generating alternative text for website images automatically.
- Adding context-aware captions to images in marketing campaigns.
- Building datasets of image descriptions for AI model training.
- Analyzing images and instantly captioning them for accessibility.
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:
- Rate limits from OpenAI Vision and Captions may apply based on your subscription plans.
- Complex image analysis may consume more processing time.
- The quality of generated captions depends on the clarity and detail in the original image.