Connect Tavus and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
New Conversation
Updated Conversation
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Tavus and Labelf
Enable Integrations or automations with these events of Tavus and Labelf
Triggers
New Conversation
Trigger when new conversation is created.
Updated Conversation
Trigger when an existing conversation is updated.
Actions
Generate Speech
Generate Speech.
Create Video
Creates a Video.
Update Video
Update an Existing video.
Delete Video
Delete an Existing Video.
Update Replica
Update an Existing replica.
Create Conversation
Creates a Conversation.
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Frequently Asked Questions
To start, connect both your Tavus and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Tavus triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Tavus data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Tavus and Labelf 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 Tavus and Labelf. 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 Tavus
Tavus is an innovative platform that leverages artificial intelligence to create personalized video content at scale. It allows businesses to engage with their audience through customized video messages, enhancing customer interaction and marketing efforts.
Learn MoreAbout Labelf
Labelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
Learn More
