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

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

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

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Authenticate Streamtime
Now, click the Streamtime node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streamtime settings. Authentication allows you to use Streamtime through Latenode.
Configure the Caption AI and Streamtime 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 Caption AI and Streamtime 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 Caption AI, Streamtime, 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 Caption AI and Streamtime integration works as expected. Depending on your setup, data should flow between Caption AI and Streamtime (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Caption AI and Streamtime
Caption AI + Slack + Streamtime: When a video caption is generated in Caption AI, a message with the draft is sent to a designated Slack channel for team review. Once approved, the final caption is used to create a scheduled social media task in Streamtime.
Streamtime + Caption AI + Google Sheets: When a project job is created in Streamtime, AI generates captions for portfolio updates using Caption AI. The draft caption and its performance metrics are then logged in a Google Sheet for tracking and analysis.
Caption AI and Streamtime integration alternatives
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 Streamtime
Streamtime project management inside Latenode: automate tasks like invoice creation based on project status, or sync time entries with accounting. Connect Streamtime to other apps via Latenode's visual editor and AI tools. Customize further with JavaScript for complex workflows. Manage projects and data automatically.
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See how Latenode works
FAQ Caption AI and Streamtime
How can I connect my Caption AI account to Streamtime using Latenode?
To connect your Caption AI account to Streamtime on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Caption AI and click on "Connect".
- Authenticate your Caption AI and Streamtime accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate project time tracking using AI-generated captions?
Yes, you can! Latenode lets you automatically log time in Streamtime based on captions generated by Caption AI, saving time and improving project tracking accuracy.
What types of tasks can I perform by integrating Caption AI with Streamtime?
Integrating Caption AI with Streamtime allows you to perform various tasks, including:
- Automatically creating Streamtime tasks from new Caption AI project briefs.
- Updating Streamtime project notes with summaries generated by Caption AI.
- Triggering Streamtime notifications based on Caption AI caption approval status.
- Logging billable hours in Streamtime using AI-analyzed caption feedback.
- Creating client reports in Streamtime with AI-generated caption performance data.
How does Latenode handle Caption AI API authentication securely?
Latenode uses secure credential storage and encryption to protect your Caption AI API keys, ensuring safe and reliable automation workflows.
Are there any limitations to the Caption AI and Streamtime integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Real-time data synchronization depends on the API limits of both Caption AI and Streamtime.
- Complex logic may require JavaScript code within Latenode for advanced customization.
- Initial setup requires basic understanding of Caption AI and Streamtime project structures.