
When this happens...
New Video Generated
Generated Video Failed

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new video is generated
Triggers when a generated video failed
Action is the task that follows automatically within your Jogg AI integrations.
Lists available AI templates.
Lists available avatars.
Lists available music.
Lists custom templates.
Lists cloned voices.
Lists photo avatars.

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To start, connect both your Jogg AI and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Jogg AI triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Jogg AI data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Jogg AI and V7 Go typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Jogg AI and V7 Go. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Jogg AI is an advanced platform that leverages artificial intelligence to enhance and streamline the process of video and audio transcription. It offers cutting-edge tools for converting spoken content into written text with high accuracy and efficiency, making it an ideal solution for businesses, content creators, and professionals who require reliable transcription services
Learn MoreV7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
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