Connect Zoho Mail and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of Zoho Mail and Labelf
Enable Integrations or automations with these events of Zoho Mail and Labelf
Triggers
New Email
Triggers when you recieve a new email.
New Email Matching Search
Triggers when you recieve a new email that matches the given condition.
New Tagged Email
Triggers when a new email is received and you tag it within two days.
Actions
Create Draft
Create a new draft mail.
Create Folder
Creates a new folder.
Create Label
Creates a new label in zoho mail.
Send Email
Send an email from a Zoho Mail account to one or more recipients, with optional CC/BCC, subject, HTML or plain-text body, and attachments.
Create New Task
Creates a new task
Get all User Signature
Get a list of all user signature.
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Frequently Asked Questions
To start, connect both your Zoho Mail and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Zoho Mail triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Zoho Mail 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 Zoho Mail 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 Zoho Mail 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 Zoho Mail
Zoho Mail provides encrypted, ad-free email hosting with custom domains, IMAP/POP/SMTP support, robust admin controls, and enterprise-grade security for business communication.
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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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