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Connect DeepL integrations

Localize your digital content, documents, and customer communications in over 100 languages by connecting DeepL to Make. Linking this translation platform to our workflow automation tool lets you instantly translate incoming customer support tickets, parse document layouts, and sync global team files. Try Make for free today to instantly launch your first multilingual pipeline.

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Build your DeepL integrations.

In today's global business environment, breaking down language barriers is essential for international growth, and connecting DeepL to your digital toolset is the most efficient way to scale your localization efforts. By leveraging Make, you can build sophisticated automated workflows that connect DeepL with your CRM, email marketing platforms, content management systems, and databases without writing a single line of code. Imagine automatically translating incoming customer support tickets, localizing blog posts instantly upon creation, or translating marketing campaign assets on the fly. This powerful integration solution eliminates slow manual processes, reduces human error, and ensures your multilingual communications are processed in real time. Whether you want to sync translated data across multiple platforms or trigger complex multi-step automation sequences based on specific language triggers, the visual drag-and-drop builder makes it incredibly easy to design custom scenarios tailored to your business needs. Maximize your global marketing reach, optimize your internal translation pipelines, and boost overall team productivity by utilizing advanced cloud automation. To get started on transforming your localization and translation processes, sign up today and try Make to integrate DeepL.

DeepL
Make an API Call

Performs an arbitrary authorized API call.

Action
DeepL
Translate a Text

Translates a text into specified language.

Action

Connect any app with DeepL

Popular DeepL workflows.

Automate your DeepL translations with Make. Sync multi-language content, reduce manual work, and enhance your workflows.

Expand Your Global Reach: Automate DeepL Translations with Make

By integrating DeepL with Make, you can automate translation workflows across Discord, Telegram, and WordPress. Expand your global reach and eliminate manual copying with automatic, multi-language updates.

Real-time chat translation

Automatically translate incoming messages in Discord, Telegram, or Facebook Messenger instantly to keep global conversations flowing.

Automated global content distribution

Easily translate and publish your WordPress posts, emails, and social media updates into multiple languages simultaneously.

Seamless AI-driven workflows

Connect DeepL with tools like Claude and WordPress to generate, translate, and post content in one automated step.

Eliminate manual copying and pasting

Save hours of manual effort by letting Make automatically translate and route your texts across different platforms.

FAQ

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.

How it works

Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.

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