How to connect Caption AI and Toggl Track
Create a New Scenario to Connect Caption AI and Toggl Track
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 Toggl Track will be your first step. To do this, click "Choose an app," find Caption AI or Toggl Track, 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 Toggl Track Node
Next, click the plus (+) icon on the Caption AI node, select Toggl Track from the list of available apps, and choose the action you need from the list of nodes within Toggl Track.

Caption AI
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Toggl Track

Authenticate Toggl Track
Now, click the Toggl Track node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Toggl Track settings. Authentication allows you to use Toggl Track through Latenode.
Configure the Caption AI and Toggl Track 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 Toggl Track 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.

JavaScript
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AI Anthropic Claude 3
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Toggl Track
Trigger on Webhook
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Caption AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Caption AI, Toggl Track, 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 Toggl Track integration works as expected. Depending on your setup, data should flow between Caption AI and Toggl Track (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 Toggl Track
Caption AI + Toggl Track + Google Calendar: When a video generation request is completed in Caption AI, log the time spent on the project in Toggl Track. Then, create a follow-up event in Google Calendar.
Toggl Track + Caption AI + Slack: When a new time entry is created in Toggl Track, generate a summary using Caption AI (assuming it can process the project description or related data via API, a feature that's not directly listed but implied for AI integration), and then share the summary in a dedicated Slack channel.
Caption AI and Toggl Track 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 Toggl Track
Track time in Toggl Track, then use Latenode to automatically log hours to project management tools or generate invoices. Pull Toggl Track data into reports and dashboards, or trigger notifications based on time entries. Automate billing and project tracking; build custom flows around your Toggl Track data.
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See how Latenode works
FAQ Caption AI and Toggl Track
How can I connect my Caption AI account to Toggl Track using Latenode?
To connect your Caption AI account to Toggl Track 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 Toggl Track accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I track time spent generating captions with Caption AI?
Yes, you can! Latenode allows you to automatically log time in Toggl Track whenever a caption is generated in Caption AI, providing valuable insights into content creation time. Scale your automation with ease.
What types of tasks can I perform by integrating Caption AI with Toggl Track?
Integrating Caption AI with Toggl Track allows you to perform various tasks, including:
- Log time spent on creating social media captions via Caption AI.
- Automatically generate Toggl Track reports based on caption creation activity.
- Track project time by categorizing captions generated with Caption AI.
- Send summary reports to team channels after generating captions.
- Calculate the cost of caption creation based on tracked time and rates.
How do I handle errors between Caption AI and Toggl Track?
Latenode provides robust error handling. You can set up alerts and automatically retry failed tasks, ensuring reliable automation between apps.
Are there any limitations to the Caption AI and Toggl Track integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex workflows may require advanced JavaScript knowledge.
- Real-time data sync depends on the API availability of both apps.
- Historical data migration between the apps may require custom scripting.