Connect Jogg AI and MQTT to Build Intelligent Automations
Enable Integrations or automations with these events of Jogg AI and MQTT
Enable Integrations or automations with these events of Jogg AI and MQTT
Triggers
New Video Generated
Triggers when a new video is generated
Generated Video Failed
Triggers when a generated video failed
Actions
List Visual Styles
Lists available AI templates.
List Avatar Library
Lists available avatars.
List Music
Lists available music.
List My Templates
Lists custom templates.
List My Voices
Lists cloned voices.
List Photo Avatars
Lists photo avatars.
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Frequently Asked Questions
To start, connect both your Jogg AI and MQTT accounts to viaSocket. Once connected, you can set up a workflow where an event in Jogg AI triggers actions in MQTT (or vice versa).
Absolutely. You can customize how Jogg AI data is recorded in MQTT. This includes choosing which data fields go into which fields of MQTT, setting up custom formats, and filtering out unwanted information.
The data sync between Jogg AI and MQTT 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 MQTT. 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.
About Jogg AI
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
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About MQTT
MQTT is a lightweight messaging protocol designed for small sensors and mobile devices, optimized for high-latency or unreliable networks. It is widely used in the Internet of Things (IoT) for efficient communication between devices.
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