Connect api.video and Roboflow to Build Intelligent Automations
Choose a Trigger
When this happens...
Live Stream Started
Live Stream Ended
New Live Stream Created
New Video Created
Choose an Action
Automatically do this!
- Request a new Action for Roboflow
Enable Integrations or automations with these events of api.video and Roboflow
Enable Integrations or automations with these events of api.video and Roboflow
Triggers
Live Stream Started
This Trigger will fire when a Live stream has Begun Broadcasting
Live Stream Ended
Triggers whe a Live stream ended
New Live Stream Created
Returns newly created live streams at scheduled time intervals.
New Video Created
Returns newly created videos based on the scheduled time interval.
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Frequently Asked Questions
To start, connect both your api.video and Roboflow accounts to viaSocket. Once connected, you can set up a workflow where an event in api.video triggers actions in Roboflow (or vice versa).
Absolutely. You can customize how api.video data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.
The data sync between api.video and Roboflow 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 api.video and Roboflow. 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 api.video
api.video is a video hosting and streaming service that allows users to upload, manage, and deliver videos with ease. It provides APIs to integrate video functionalities into applications.
Learn MoreAbout Roboflow
Roboflow is a leading platform for computer vision and AI model development, offering tools to streamline the process of building, training, and deploying machine learning models.
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