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

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

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

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Authenticate OpenAI GPT Assistants
Now, click the OpenAI GPT Assistants node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI GPT Assistants settings. Authentication allows you to use OpenAI GPT Assistants through Latenode.
Configure the Captions and OpenAI GPT Assistants 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 Captions and OpenAI GPT Assistants 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 Captions, OpenAI GPT Assistants, 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 Captions and OpenAI GPT Assistants integration works as expected. Depending on your setup, data should flow between Captions and OpenAI GPT Assistants (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Captions and OpenAI GPT Assistants
YouTube + Captions + OpenAI GPT Assistants: When a new video is uploaded to a specified YouTube channel, automatically generate captions using the Captions app. Then, use OpenAI GPT Assistants to refine the generated captions for clarity and engagement, creating better subtitles.
Instagram for Business + OpenAI GPT Assistants + Captions: When new media is posted to an Instagram for Business account, use OpenAI GPT Assistants to generate engaging captions. If the initial caption needs adjustment, use Captions' translation request to revise for better impact.
Captions and OpenAI GPT Assistants integration alternatives
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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About OpenAI GPT Assistants
Use OpenAI GPT Assistants within Latenode to automate complex tasks like customer support or content creation. Configure Assistants with prompts and integrate them into broader workflows. Chain them with file parsing, webhooks, or database updates for scalable, automated solutions. Benefit from Latenode's no-code flexibility and affordable execution-based pricing.
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FAQ Captions and OpenAI GPT Assistants
How can I connect my Captions account to OpenAI GPT Assistants using Latenode?
To connect your Captions account to OpenAI GPT Assistants on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Captions and click on "Connect".
- Authenticate your Captions and OpenAI GPT Assistants accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate summaries from Captions videos?
Yes, you can! Using Latenode, connect Captions to OpenAI GPT Assistants to automate video summarization. Save time by instantly extracting key insights from your video content.
What types of tasks can I perform by integrating Captions with OpenAI GPT Assistants?
Integrating Captions with OpenAI GPT Assistants allows you to perform various tasks, including:
- Transcribing Captions videos and using GPT to refine the text.
- Analyzing video content for sentiment using AI models.
- Generating social media posts from video transcripts.
- Creating video scripts with AI based on existing Captions content.
- Automatically tagging videos based on transcript analysis.
How does Latenode enhance Captions integrations?
Latenode adds no-code logic, AI processing, JavaScript functions, and scalability to your Captions automation workflows, unlocking advanced customization.
Are there any limitations to the Captions and OpenAI GPT Assistants integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large video files may take longer to process due to API rate limits.
- The accuracy of transcriptions depends on audio quality.
- Complex workflows with many steps might require advanced Latenode knowledge.