IntegrationsSmartcatRoboflow
Smartcat + Roboflow

Connect Smartcat and Roboflow to Build Intelligent Automations

Choose a Trigger

Smartcat

When this happens...

Choose an Action

Roboflow

Automatically do this!

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Smartcat and Roboflow?

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

Can we customize how data from Smartcat is recorded in Roboflow?

Absolutely. You can customize how Smartcat data is recorded in Roboflow. This includes choosing which data fields go into which fields of Roboflow, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Smartcat and Roboflow?

The data sync between Smartcat and Roboflow 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 Smartcat to Roboflow?

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 Smartcat and Roboflow?

Yes, you can set conditional logic to control the flow of data between Smartcat and Roboflow. 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.

Smartcat

About Smartcat

Smartcat is an all-in-one platform connecting businesses and translators into a continuous translation delivery loop by combining a collaborative workflow solution, a marketplace, and a network of translation professionals.

Learn More
Roboflow

About Roboflow

Roboflow is a platform designed to streamline the process of building, training, and deploying computer vision models. It provides tools for managing datasets, annotating images, and integrating machine learning models into applications, making it easier for developers and data scientists to work with visual data.

Learn More