Connect ShareFile and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of ShareFile and Labelf
Enable Integrations or automations with these events of ShareFile and Labelf
Triggers
New File
Triggers when a new file is uploaded to a specified folder.
New Client
Triggers when a new client is created.
Actions
Add Note
Adds a note in the chosen folder.
Add URL
Adds a URL in the chosen folder.
Create Client User
Creates a ShareFile user with the given information.
Create Folder
Creates a folder in the chosen folder.
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Frequently Asked Questions
To start, connect both your ShareFile and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in ShareFile triggers actions in Labelf (or vice versa).
Absolutely. You can customize how ShareFile 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 ShareFile 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 ShareFile 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 ShareFile
ShareFile is a secure file sharing and storage solution designed for businesses to easily send, receive, and store large files. It offers robust security features, customizable workflows, and seamless integration with other business tools to enhance productivity and collaboration.
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About 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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