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Automatically generate diverse social media content from video transcripts using Captions and AI GPT Router. Latenode’s visual editor and affordable execution pricing let you tailor and scale content strategies easier than ever, using your own AI keys and logic.
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In the workspace, click the “Create New Scenario” button.

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 AI GPT Router will be your first step. To do this, click "Choose an app," find Captions or AI GPT Router, and select the appropriate trigger to start the scenario.

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

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

Captions
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AI GPT Router
Now, click the AI GPT Router node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI GPT Router settings. Authentication allows you to use AI GPT Router 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
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AI Anthropic Claude 3
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AI GPT Router
Trigger on Webhook
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Captions
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Iterator
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Webhook response
After configuring Captions, AI GPT Router, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Captions and AI GPT Router integration works as expected. Depending on your setup, data should flow between Captions and AI GPT Router (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Captions + AI GPT Router + Slack: When a new message is posted to a Slack channel, the text is sent to AI GPT Router for sentiment analysis. If the sentiment is negative, an alert message is sent to a specified Slack channel.
Captions + AI GPT Router + Google Sheets: When a new row is added to a Google Sheet, the data is sent to AI GPT Router to summarize the captions. The summary is then stored in a new row in the same Google Sheet.
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 AI GPT Router
Use AI GPT Router in Latenode to intelligently route and process text. Automate content summarization, sentiment analysis, or language translation based on custom criteria. Chain AI tasks with no-code tools, APIs, and file parsing nodes. Scale complex AI workflows easily with prompt-driven logic and affordable, execution-based pricing.
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How can I connect my Captions account to AI GPT Router using Latenode?
To connect your Captions account to AI GPT Router on Latenode, follow these steps:
Can I automatically summarize captions with AI using this integration?
Yes, you can! Use Latenode to trigger AI GPT Router summaries whenever new captions are generated, streamlining content analysis and reporting. Build complex logic with no-code and JavaScript steps.
What types of tasks can I perform by integrating Captions with AI GPT Router?
Integrating Captions with AI GPT Router allows you to perform various tasks, including:
HowdoIhandleCaptionsAPIerrorswithinLatenodeworkflows?
Latenode lets you use advanced error handling for Captions. Implement retry logic or send alerts using webhooks when errors happen, ensuring workflow reliability.
Are there any limitations to the Captions and AI GPT Router integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: