Connect Signwell and Labelf to Build Intelligent Automations
Choose a Trigger
When this happens...
Document Completed
Document Sent
Document Viewed
Choose an Action
Automatically do this!
- Request a new Action for Labelf
Enable Integrations or automations with these events of Signwell and Labelf
Enable Integrations or automations with these events of Signwell and Labelf
Triggers
Document Completed
Triggers when a document has been completed.
Document Sent
Triggers when a document is sent.
Document Viewed
Triggers when a signer view a document for the first time.
Actions
Create Document From Template
Creates a document from a template and sends the document. This action uses API requests. Limits apply if not using an API plan.
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Frequently Asked Questions
To start, connect both your Signwell and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Signwell triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Signwell 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 Signwell 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 Signwell 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 Signwell
Signwell is a digital platform that facilitates electronic signatures and document management, streamlining the process of signing, sending, and storing documents securely online.
Learn MoreAbout 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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