Wrapper for DeepL translator.

deepl, translation, translate, language, application, library, python
pip install deeplator==0.0.7




Deeplator is a Python library and application enabling translation via the DeepL translator available at

In August 2017, DeepL released the DeepL translator. With unprecedented translation quality, the DeepL translator sets a new standard in neural machine translation. Check out to get more information.

Currently, the supported languages include English, German, French, Spanish, Italian, Dutch and Polish.

If you're coding in PHP instead, DeepLy might be the right choice.

Application Usage

Using the application is straight forward. Basically, you just need to launch

The -l LANG argument specifies the source and output languages. If omitted, the application will ask for the languages interactively. LANG is the translation code in the format AA-BB where AA ist the source language code and BB is the output language code. See the table below for all language codes. For example, if you were to translate from English to German, the argument should be -l EN-DE. You can also tell DeepL to automatically detect the language of the source text by supplying AUTO as the source language (e.g. -l AUTO-DE).

Language Code
English EN
German DE
French FR
Spanish ES
Italian IT
Dutch NL
Polish PL

You can tell Deeplator to read input from a file using the -f PATH argument. When ommitted, Deeplator will read input from stdin instead. Remember to exit the multiline input with Ctrl+D.

Library Usage

The Deeplator library was written for Python 3.

Single Sentence

from deeplator import Translator

t = Translator("EN", "DE")
sentence = "Hello world."
translation = t.translate_sentence(sentence)

Multiple Sentences

In case it is unknown if the input string consists of multiple sentences, use the translate_sentences method. It will split the passed argument into sentences first and translate each sentence by its own.

from deeplator import Translator

t = Translator("EN", "DE")
paragraph = "Hello world. DeepL is awesome."
translations = t.translate_sentences(paragraph)