
When this happens...
New Video Uploaded
Playlist Assets Created
Collections Created
New Video Asset
List Updated Videos
Vedio Asset Created

Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new video is uploaded
Trigger when new playlist assets created.
Trigger when new Collections created.
Returns video assets that were added to a specified Gumlet collection since the last check.
Retrieves video assets from the specified Gumlet collection that were created or updated since the configured scheduled time.
Trigger when a Video Asset is created on Gumlet.
Action is the task that follows automatically within your Gumlet integrations.
Upload a video to your gumlet account.
Create a new Asset.
Update a video's metadata and delivery settings in Gumlet — edit title, description, tags, format, image overlay, and audio/subtitle tracks.
Search Assets in Collections.
Create Playlist in Collection.
Search playlists.

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To start, connect both your Gumlet and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Gumlet triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Gumlet data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Gumlet and V7 Go 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 Gumlet and V7 Go. 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.
Gumlet is a powerful image and video optimization platform designed to deliver high-quality media content with minimal load times. It provides automatic resizing, compression, and delivery of images and videos, ensuring optimal performance across all devices and platforms.
Learn MoreV7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
Learn More