Connect Google Meet and TTSOpenAI to Build Intelligent Automations
Choose a Trigger
When this happens...
New Meeting
Choose an Action
Automatically do this!
Text To Speech
Generate Audio Story
Ready to use Google Meet and TTSOpenAI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Meeting
Trigger when a new meeting is created.
Do thisActions
Action is the task that follows automatically within your Google Meet integrations.
Get All Attendees
Get All Attendees for Google Meet.
Schedule a Meeting
schedules a video conference meeting.
Add Attendees to Meeting
updating the existing calendar event’s attendees list by adding new emails.
List Upcoming Meetings
List Upcoming Google Meet Meetings .
Update Meeting
update an existing meeting.
Cancel Meeting
delete a meeting.
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Frequently Asked Questions
To start, connect both your Google Meet and TTSOpenAI accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Meet triggers actions in TTSOpenAI (or vice versa).
Absolutely. You can customize how Google Meet data is recorded in TTSOpenAI. This includes choosing which data fields go into which fields of TTSOpenAI, setting up custom formats, and filtering out unwanted information.
The data sync between Google Meet and TTSOpenAI 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 Google Meet and TTSOpenAI. 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 Google Meet
Google Meet is a video conferencing app. Using your browser, share your video, desktop, and presentations with teammates and customers.
Learn MoreAbout TTSOpenAI
TTSOpenAI is a cutting-edge platform that leverages advanced AI technology to convert text into natural-sounding speech. It is designed to enhance accessibility, improve user engagement, and provide a seamless audio experience for various applications, including content creation, education, and customer support.
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