DeepL, or how to translate everything effortlessly


Here is an application that can be practical on a daily basis. DeepL makes automatic text translation convenient and fast.

Whether it’s because you don’t fully master Shakespeare’s language, to translate Chinese texts taken from Weibo or to be sure you understand an expression in Finnish, automatic translators are tools that have become essential and that we would not give you. affront to introduce you. But for some time at Frandroid, we came across a very practical application, which can be installed on a PC under Windows or macOS, or even on iOS. It has made our lives a lot easier and it’s called DeepL.

Some of you are probably already familiar with DeepL. Remember that this is a translator that is based on learning by AI to translate and that it is devilishly precise and efficient for small everyday uses. What does the application bring compared to a good old Google Translate? The application brings neither more nor less than the omnipotence of a keyboard shortcut. Once installed, simply highlight text with your mouse, tap ctrl+c+c Where cmd+c+c on macOS, and voila, the application will translate the text for you. The cool thing is that the app itself recognizes the language you’re trying to translate. No configuration to do, nothing. Just press the shortcut after selecting text and the application automatically opens to display the translation.

Small example of a translation from French to English.

How to install DeepL?

To install DeepL, simply go to DeepL.com. At the bottom of the page, you will find the download link to Windows or macOS on PC.

On smartphones, there are also versions for iPhone or Android available on the App Store and Play Store. They are a little less practical since the shortcut disappears. That said, to translate on a smartphone, it is still quite practical. Just highlight in any app, then click share and select DeepL.

Like Google Translate on smartphones, you can also use your camera to scan text. However, you will need to select a source language. This works rather well, even if we do not avoid the small pitfall of untimely line breaks.


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