Connect Phrase and Labelf to Build Intelligent Automations

Choose a Trigger

Phrase

When this happens...

Choose an Action

Labelf

Automatically do this!

Enable Integrations or automations with these events of Phrase and Labelf

Enable Integrations or automations with these events of Phrase and Labelf

Triggers

Job Created

Job Created

Triggers when a Phrase Job has been created, but not yet started.

Job Started

Job Started

Triggers when a Phrase Job is marked as in-progress.

Job Completed

Job Completed

Triggers when a Phrase Job has been marked as completed.

Request a new Trigger for Phrase

Actions

Start a Job

Start a Job

Starts an existing job that is in draft state.

Complete a Job

Complete a Job

Completed a job that is in the 'in_progress' state.

Delete a Job

Delete a Job

Delete's a job from phrase.

Create a Job Comment

Create a Job Comment

Creates a new comment in the specified job.

Delete a Job Comment

Delete a Job Comment

This action will delete a comment from the specified job.

Update a Job Comment

Update a Job Comment

This action updates a comment to a specific job.

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Frequently Asked Questions

How do I start an integration between Phrase and Labelf?

To start, connect both your Phrase and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Phrase triggers actions in Labelf (or vice versa).

Can we customize how data from Phrase is recorded in Labelf?

Absolutely. You can customize how Phrase 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.

How often does the data sync between Phrase and Labelf?

The data sync between Phrase and Labelf typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Phrase to Labelf?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Phrase and Labelf?

Yes, you can set conditional logic to control the flow of data between Phrase 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.

Phrase

About Phrase

Phrase is a comprehensive localization management platform that streamlines the translation and localization process for businesses, enabling them to reach global audiences effectively.

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Labelf

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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