################## deep-translator ##################

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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.
Swagger API: https://deep-translator-api.azurewebsites.net/docs.

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.. contents:: Table of Contents :depth: 3

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========== 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 <https://translate.google.com/>_
Support for the microsoft translator <https://www.microsoft.com/en-us/translator//>_ (version >= 1.3.5)
Support for Pons translator <https://de.pons.com/>_
Support for the Linguee translator <https://www.linguee.com/>_
Support for the Mymemory translator <https://mymemory.translated.net/>_
Support for the Yandex translator <https://yandex.com/>_ (version >= 1.2.1)
Support for the QcriTranslator translator <https://mt.qcri.org/api/>_ (version >= 1.2.4)
Support for the DeeplTranslator translator <https://www.deepl.com/en/translator/>_ (version >= 1.2.5)
Support for the Papago translator <https://papago.naver.com/>_ (version >= 1.4.4)
Support for the Libre translator <https://libretranslate.com/>_
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:

.. code-block:: console

$ pip install -U deep-translator

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

============ Quick Start

.. code-block:: python

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:

.. code-block:: python

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:

.. code-block:: console

$ deep-translator --source "en" --target "de" --text "hello world"

or shorter

$ dt -tg de -txt "hello world"

===== 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

.. code-block:: python

from deep_translator import (GoogleTranslator,
                             MicrosoftTranslator,
                             PonsTranslator,
                             LingueeTranslator,
                             MyMemoryTranslator,
                             YandexTranslator,
                             PapagoTranslator,
                             DeeplTranslator,
                             QcriTranslator,
                             single_detection,
                             batch_detection)

Check Supported Languages

.. note::

You can check the supported languages of each translator by calling the
get_supported_languages function.

.. code-block:: python

# 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

.. code-block:: python

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

Batch Detection

.. code-block:: python

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

Google Translate

.. code-block:: python

text = 'happy coding'

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

.. code-block:: python

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

You can pass languages by name or by abbreviation:

.. code-block:: python

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)

You can also reuse the Translator class and change/update its properties.

(Notice that this is important for performance too since instantiating new objects is expensive)

.. code-block:: python

# let's say first you need to translate from auto to german
my_translator = GoogleTranslator(source='auto', target='german')
result = my_translator.translate(text=text)
print(f"Translation using source = {my_translator.source} and target = {my_translator.target} -> {result}")

# let's say later you want to reuse the class but your target is french now
# This is the best practice and how you should use deep-translator.
# Please don't over-instantiate translator objects without a good reason, otherwise you will run into performance issues
my_translator.target = 'fr'  # this will override the target 'german' passed previously
result = my_translator.translate(text=text)
print(f"Translation using source = {my_translator.source} and target = {my_translator.target} -> {result}")

# you can also update the source language as well
my_translator.source = 'en'  # this will override the source 'auto' passed previously
result = my_translator.translate(text=text)
print(f"Translation using source = {my_translator.source} and target = {my_translator.target} -> {result}")

Translate batch of texts

.. code-block:: python

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:

.. code-block:: python

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

.. code-block:: python

text = 'Keep it up. You are awesome'

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

Translate batch of texts

.. code-block:: python

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

.. code-block:: python

path = "your_file.txt"

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

DeeplTranslator

.. note::

In order to use the DeeplTranslator 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

.. code-block:: python

text = 'Keep it up. You are awesome'

translated = DeeplTranslator(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

.. code-block:: python

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

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

QcriTranslator

.. note::

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

Check languages

.. code-block:: python

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

Check domains

.. code-block:: python

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

Text translation

.. code-block:: python

text = 'Education is great'

translated = QcriTranslator("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

.. code-block:: python

word = 'good'

Simple Translation

.. code-block:: python

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

.. code-block:: python

# 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

.. code-block:: python

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

.. code-block:: python

word = 'awesome'

Simple Translation

.. code-block:: python

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

.. code-block:: python

# 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

.. code-block:: python

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

.. code-block:: python

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

Text translation

.. code-block:: python

# 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

.. code-block:: python

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

Batch translation

.. code-block:: python

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.

.. code-block:: python

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:

.. code-block:: python

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

.. code-block:: python

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

Translate from a file:

.. code-block:: python

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.

.. code-block:: python

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

Libre Translator

.. note::

Libre translate has multiple  `mirrors <https://github.com/LibreTranslate/LibreTranslate#mirrors>`_ which can be used for the API endpoint.
Some require an API key to be used. By default the base url is set to `libretranslate.de <https://libretranslate.de/>`_ .
This can be set using the "base_url" input parameter.

.. code-block:: python

text = 'laufen'
translated = LibreTranslator(source='auto', target='en', base_url = 'https://libretranslate.com/', api_key = 'your_api_key').translate(text=text)  # output: run

You can pass languages by name or by abbreviation:

.. code-block:: python

translated = LibreTranslator(source='german', target='english').translate(text=text)

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

Translate batch of texts

.. code-block:: python

texts = ["hallo welt", "guten morgen"]
translated = LibreTranslator(source='auto', target='en').translate_batch(texts)

Translate from a file:

.. code-block:: python

translated = LibreTranslator(source='auto', target='en').translate_file('path/to/file')

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.

.. code-block:: python

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:

.. code-block:: console

$ deep-translator list

To translate a string or line of text:

.. code-block:: console

$ deep_translator google --source "english" --target "german" --text "happy coding"

Alternate short option names, along with using language abbreviations:

.. code-block:: console

$ deep_translator google -src "en" -tgt "de" -txt "happy coding"

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

.. code-block:: console

$ 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 <https://deep-translator.readthedocs.io/en/latest/contributing.html/>_

======== 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 <https://deep-translator.readthedocs.io/en/latest/contributing.html/>_

========== Credits

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

========== License

MIT license

=========== Swagger UI

deep-translator offers an api server for easy integration with other applications. Non python applications can communicate with the api directly and leverage the features of deep-translator

Access the api here: https://deep-translator-api.azurewebsites.net/docs

=========================== The Translator++ mobile app

.. image:: ../assets/app-icon.png :width: 100 :alt: Icon of the app

You can download and try the app on play store https://play.google.com/store/apps/details?id=org.translator.translator&hl=en_US&gl=US

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 <https://kivy.org/#home/>_ since I wanted to code in python and to develop a cross platform app. I open sourced the Translator++ app <https://github.com/nidhaloff/deep-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

.. image:: ../assets/translator1.jpg :width: 30% :height: 200 :alt: screenshot1 .. image:: ../assets/translator2.jpg :width: 30% :height: 200 :alt: screenshot2 .. image:: ../assets/spinner.jpg :width: 30% :height: 200 :alt: spinner

Tablet:

.. image:: ../assets/hz_view.png :width: 100% :height: 300 :alt: screenshot3

=========================== Website & Desktop app

Currently, there are propositions for a website and/or dekstop app based on deep-translator. You can follow the issue here: https://github.com/nidhaloff/deep-translator/issues/144

deep-translator
deep-translator copied to clipboard

Metadata

======================= 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

DeeplTranslator

QcriTranslator

Linguee Translator

PONS Translator

Yandex Translator

Microsoft Translator

Papago Translator

Libre Translator

Proxy usage

Usage from Terminal

====== Tests

======== Links

====== Help

=========== Next Steps

========== Credits

========== License

=========== Swagger UI

=========================== The Translator++ mobile app

=========================== Website & Desktop app

← Metadata

Owner

Metadata

deep-translator deep-translator copied to clipboard

Metadata

======================= 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

DeeplTranslator

QcriTranslator

Linguee Translator

PONS Translator

Yandex Translator

Microsoft Translator

Papago Translator

Libre Translator

Proxy usage

Usage from Terminal

====== Tests

======== Links

====== Help

=========== Next Steps

========== Credits

========== License

=========== Swagger UI

=========================== The Translator++ mobile app

=========================== Website & Desktop app

← Metadata

Owner

Metadata

deep-translator
deep-translator copied to clipboard