Connect Ziflow and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Ziflow and Labelf
Enable Integrations or automations with these events of Ziflow and Labelf
Triggers
Proof Created
Triggers when a proof is created.
Reviewer Comment
Triggers when a reviewer makes a comment on a proof.
Reviewer Decision
Triggers when a reviewer makes a decision on a proof.
Actions
Create a Folder
Creates a new folder in Ziflow to organize proofs and files.
List Root Folders
Get a list of top level folders the user can access.
List Users
Get a list of users registered in your account.
List Contacts
Get a list of all contacts.
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Frequently Asked Questions
To start, connect both your Ziflow and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Ziflow triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Ziflow 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 Ziflow 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 Ziflow 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 Ziflow
Ziflow is an online proofing tool designed for marketing teams and agencies to review and approve creative content. It supports various file types and provides features for collaboration and feedback.
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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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