Connect Zoom and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
New Meeting
New Meeting Registrant
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Zoom and Labelf
Enable Integrations or automations with these events of Zoom and Labelf
Triggers
New Meeting
Triggers when a new Zoom meeting is created.
New Meeting Registrant
Triggers when a new registrant is added to a meeting.
Actions
Create a Meeting
Creates a meeting for a user
Get a Meeting
Returns the details of the meeting by meeting ID
List Meetings
List all upcoming meetings
Update a Meeting
Updates a meeting details by meeting id
Delete a Meeting
Deletes a meeting
Add a registrant to a meeting
Adds a registrant to a meeting
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Frequently Asked Questions
To start, connect both your Zoom and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoom triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Zoom 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 Zoom 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 Zoom 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 Zoom
Zoom is a cloud-based video conferencing service you can use to virtually meet with others - either by video or audio-only or both, all while conducting live chats - and it lets you record those sessions to view later.
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.
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