deep-translator 1.5.1

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Translation for humans

A flexible FREE and UNLIMITED tool to translate between different languages in a simple way using multiple translators.

• Free software: MIT license

• Documentation: https://deep-translator.readthedocs.io.

Table of Contents

• Translation for humans

• Motivation

• When you should use it

• Why you should use it

• Features

• Installation

• Quick Start

• Usage

  • Imports

  • Check Supported Languages

  • Language Detection

  • Google Translate

  • Mymemory Translator

  • DeepL Translator

  • QCRI Translator

  • Linguee Translator

  • PONS Translator

  • Yandex Translator

  • Microsoft Translator

  • Papago Translator

  • Proxy usage

  • Usage from Terminal

• Tests

• Links

• Help

• Next Steps

• Credits

• License

• The Translator++ mobile app

Motivation

I needed to translate a text using python. It was hard to find a simple way to do it. There are other libraries that can be used for this task, but most of them are buggy, not free, limited, not supported anymore or complex to use.

Therefore, I decided to build this simple tool. It is 100% free, unlimited, easy to use and provide support for all languages.

Basically, my goal was to integrate support for multiple famous translators in this tool.

When you should use it

• If you want to translate text using python

• If you want to translate from a file

• If you want to get translations from many sources and not only one

• If you want to automate translations

• If you want to compare different translations

• If you want to detect language automatically

Why you should use it

• It’s the only python tool that integrates many translators

• multi language support

• supports batch translation

• High level of abstraction

• Automatic language detection

• Easy to use and extend

• Support for most famous universal translators

• Stable and maintained regularly

• The API is very easy to use

• Proxy integration is supported

Features

• Support for google translate

• Support for the microsoft translator (version >= 1.3.5)

• Support for Pons translator

• Support for the Linguee translator

• Support for the Mymemory translator

• Support for the Yandex translator (version >= 1.2.1)

• Support for the QCRI translator (version >= 1.2.4)

• Support for the DeepL translator (version >= 1.2.5)

• Support for the Papago translator (version >= 1.4.4)

• Support for proxy usage

• Automatic single language detection

• Batch language detection

• Translate directly from a text file

• Get multiple translation for a word

• Automate the translation of different paragraphs in different languages

• Translate directly from terminal (version >= 1.1.0)

Installation

Install the stable release:

$ pip install -U deep-translator

take a look at the docs if you want to install from source.

Quick Start

from deep-translator import GoogleTranslator
translated = GoogleTranslator(source='auto', target='de').translate("keep it up, you are awesome")  # output -> Weiter so, du bist großartig

or using proxies:

from deep-translator import GoogleTranslator

proxies_example = {
    "https": "34.195.196.27:8080",
    "http": "34.195.196.27:8080"
}
translated = GoogleTranslator(source='auto', target='de', proxies=proxies_example).translate("keep it up, you are awesome")  # output -> Weiter so, du bist großartig

or even directly from terminal:

$ deep-translator -trans "google" -src "en" -tg "de" -txt "keep it up, you are awesome"

Usage

In this section, demos on how to use all different integrated translators in this tool are provided.

Note

You can always pass the languages by the name or by abbreviation.

Example: If you want to use english as a source or target language, you can pass english or en as an argument

Imports

from deep-translator import (GoogleTranslator,
                             MicrosoftTranslator,
                             PonsTranslator,
                             LingueeTranslator,
                             MyMemoryTranslator,
                             YandexTranslator,
                             PapagoTranslator,
                             DeepL,
                             QCRI,
                             single_detection,
                             batch_detection)

Check Supported Languages

Note

You can check the supported languages of each translator by calling the get_supported_languages function as a static method.

# default return type is a list
langs_list = GoogleTranslator.get_supported_languages()  # output: [arabic, french, english etc...]

# alternatively, you can the dictionary containing languages mapped to their abbreviation
langs_dict = GoogleTranslator.get_supported_languages(as_dict=True)  # output: {arabic: ar, french: fr, english:en etc...}

Language Detection

Note

You can also detect language automatically. Notice that this package is free and my goal is to keep it free. Therefore, you will need to get your own api_key if you want to use the language detection function. I figured out you can get one for free here: https://detectlanguage.com/documentation

• Single Text Detection

lang = single_detection('bonjour la vie', api_key='your_api_key')
print(lang) # output: fr

• Batch Detection

lang = batch_detection(['bonjour la vie', 'hello world'], api_key='your_api_key')
print(lang) # output: [fr, en]

Google Translate

text = 'happy coding'

• You can use automatic language detection to detect the source language:

translated = GoogleTranslator(source='auto', target='de').translate(text=text)

• You can pass languages by name or by abbreviation:

translated = GoogleTranslator(source='auto', target='german').translate(text=text)

# Alternatively, you can pass languages by their abbreviation:
translated = GoogleTranslator(source='en', target='de').translate(text=text)

• Translate batch of texts

texts = ["hallo welt", "guten morgen"]

# the translate_sentences function is deprecated, use the translate_batch function instead
translated = GoogleTranslator('de', 'en').translate_batch(texts)

• Translate from a file:

translated = GoogleTranslator(source='auto', target='german').translate_file('path/to/file')

Mymemory Translator

Note

As in google translate, you can use the automatic language detection with mymemory by using “auto” as an argument for the source language. However, this feature in the mymemory translator is not so powerful as in google translate.

• Simple translation

text = 'Keep it up. You are awesome'

translated = MyMemoryTranslator(source='auto', target='french').translate(text)

• Translate batch of texts

texts = ["hallo welt", "guten morgen"]

# the translate_sentences function is deprecated, use the translate_batch function instead
translated = MyMemoryTranslator('de', 'en').translate_batch(texts)

• Translate from file

path = "your_file.txt"

translated = MyMemoryTranslator(source='en', target='fr').translate_file(path)

DeepL Translator

Note

In order to use the DeepL translator, you need to generate an api key. Deepl offers a Pro and a free API. deep-translator supports both Pro and free APIs. Just check the examples below. Visit https://www.deepl.com/en/docs-api/ for more information on how to generate your Deepl api key

• Simple translation

text = 'Keep it up. You are awesome'

translated = DeepL(api_key="your_api_key", source="en", target="en", use_free_api=True).translate(text)

Note

deep-translator uses free deepl api by default. If you have the pro version then simply set the use_free_api to false.

• Translate batch of texts

texts = ["hallo welt", "guten morgen"]

# the translate_sentences function is deprecated, use the translate_batch function instead
translated = DeepL("your_api_key").translate_batch(texts)

QCRI Translator

Note

In order to use the QCRI translator, you need to generate a free api key. Visit https://mt.qcri.org/api/ for more information

• Check languages

# as a property
print("language pairs: ", QCRI("your_api_key").languages)

• Check domains

# as a property
print("domains: ", QCRI("your_api_key").domains)

• Text translation

text = 'Education is great'

translated = QCRI("your_api_key").translate(source='en', target='ar', domain="news", text=text)
# output -> التعليم هو عظيم

# see docs for batch translation and more.

Linguee Translator

word = 'good'

• Simple Translation

translated_word = LingueeTranslator(source='english', target='french').translate(word)

# pass language by their abbreviation
translated_word = LingueeTranslator(source='en', target='fr').translate(word)

• Return all synonyms or words that matches

# set the argument return_all to True if you want to get all synonyms of the word to translate
translated_word = LingueeTranslator(source='english', target='french').translate(word, return_all=True)

• Translate a batch of words

translated_words = LingueeTranslator(source='english', target='french').translate_words(["good", "awesome"])

PONS Translator

Note

You can pass the languages by the name or by abbreviation just like previous examples using GoogleTranslate

word = 'awesome'

• Simple Translation

translated_word = PonsTranslator(source='english', target='french').translate(word)

# pass language by their abbreviation
translated_word = PonsTranslator(source='en', target='fr').translate(word)

• Return all synonyms or words that matches

# set the argument return_all to True if you want to get all synonyms of the word to translate
translated_word = PonsTranslator(source='english', target='french').translate(word, return_all=True)

• Translate a batch of words

translated_words = LingueeTranslator(source='english', target='french').translate_words(["good", "awesome"])

Yandex Translator

Note

You need to require an private api key if you want to use the yandex translator. visit the official website for more information about how to get one

• Language detection

lang = YandexTranslator('your_api_key').detect('Hallo, Welt')
print(f"language detected: {lang}")  # output -> language detected: 'de'

• Text translation

# with auto detection | meaning provide only the target language and let yandex detect the source
translated = YandexTranslator('your_api_key').translate(source="auto", target="en", text='Hallo, Welt')
print(f"translated text: {translated}")  # output -> translated text: Hello world

# provide source and target language explicitly
translated = YandexTranslator('your_api_key').translate(source="de", target="en", text='Hallo, Welt')
print(f"translated text: {translated}")  # output -> translated text: Hello world

• File translation

translated = YandexTranslator('your_api_key').translate_file(source="auto", target="en", path="path_to_your_file")

• Batch translation

translated = YandexTranslator('your_api_key').translate_batch(source="auto", target="de", batch=["hello world", "happy coding"])

Microsoft Translator

Note

You need to require an api key if you want to use the microsoft translator. visit the official website for more information about how to get one. Microsoft offers a free tier 0 subscription (2 million characters per month).

• Required and optional attributes

  There are two required attributes, namely “api_key” (string) and “target” (string or list). Attribute “source” is optional. Also, Microsoft API accepts a number of other optional attributes, you can find them here: https://docs.microsoft.com/azure/cognitive-services/translator/reference/v3-0-translate You can simply add them after the required attributes, see the example.

text = 'happy coding'
translated = MicrosoftTranslator(api_key='some-key', target='de').translate(text=text)
translated_two_targets = MicrosoftTranslator(api_key='some-key', target=['de', 'ru']).translate(text=text)
translated_with_optional_attr = MicrosoftTranslator(api_key='some-key', target='de', textType='html']).translate(text=text)

• You can pass languages by name or by abbreviation:

translated = MicrosoftTranslator(api_key='some-key', target='german').translate(text=text)

# Alternatively, you can pass languages by their abbreviation:
translated = MicrosoftTranslator(api_key='some-key', target='de').translate(text=text)

• Translate batch of texts

texts = ["hallo welt", "guten morgen"]
translated = MicrosoftTranslator(api_key='some-key', target='english').translate_batch(texts)

• Translate from a file:

translated = MicrosoftTranslator(api_key='some-key', target='german').translate_file('path/to/file')

Papago Translator

Note

You need to require a client id and client secret key if you want to use the papago translator. visit the official website for more information about how to get one.

text = 'happy coding'
translated = PapagoTranslator(client_id='your_client_id', secret_key='your_secret_key', source='en', target='ko').translate(text=text)  # output: 행복한 부호화

Proxy usage

deep-translator provide out of the box usage of proxies. Just define your proxies config as a dictionary and pass it to the corresponding translator. Below is an example using the GoogleTranslator but this feature can be used with all supported translators.

from deep-translator import GoogleTranslator

# define your proxy configs:
proxies_example = {
    "https": "your https proxy",  # example: 34.195.196.27:8080
    "http": "your http proxy if available"
}
translated = GoogleTranslator(source='auto', target='de', proxies=proxies_example).translate("this package is awesome")

Usage from Terminal

Deep-translator supports a series of command line arguments for quick and simple access to the translators directly in your console.

Note

The program accepts deep-translator or dt as a command, feel free to substitute whichever you prefer.

For a list of available translators:

$ deep-translator list

To translate a string or line of text:

$ deep-translator google --source "english" --target "german" --text "happy coding"

Alternate short option names, along with using language abbreviations:

$ deep-translator google -src "en" -tgt "de" -txt "happy coding"

Finally, to retrieve a list of available languages for a given translator:

$ deep-translator languages google

Tests

Developers can install the development version of deep-translator and execute unit tests to verify functionality. For more information on doing this, see the contribution guidelines

Links

Check this article on medium to know why you should use the deep-translator package and how to translate text using python. https://medium.com/@nidhalbacc/how-to-translate-text-with-python-9d203139dcf5

Help

If you are facing any problems, please feel free to open an issue. Additionally, you can make contact with the author for further information/questions.

Do you like deep-translator? You can always help the development of this project by:

• Following on github and/or twitter

• Promote the project (ex: by giving it a star on github)

• Watch the github repo for new releases

• Tweet about the package

• Help others with issues on github

• Create issues and pull requests

• Sponsor the project

Next Steps

Take a look in the examples folder for more :) Contributions are always welcome. Read the Contribution guidelines Here

Credits

Many thanks to @KirillSklyarenko for his work on integrating the microsoft translator

License

MIT license

Copyright (c) 2020-present, Nidhal Baccouri

The Translator++ mobile app

After developing the deep-translator, I realized how cool this would be if I can use it as an app on my mobile phone. Sure, there is google translate, pons and linguee apps etc.. but isn’t it cooler to make an app where all these translators are integrated?

Long story short, I started working on the app. I decided to use the kivy framework since I wanted to code in python and to develop a cross platform app. I open sourced the Translator++ app on my github too. Feel free to take a look at the code or make a pull request ;)

Note

The Translator++ app is based on the deep-translator package. I just built the app to prove the capabilities of the deep-translator package ;)

I published the first release on google play store on 02-08-2020

Here are some screenshots:

• Phone

• Tablet: