deep-translator
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators
/static/images/favicon.35549fe8.ico
PyPI
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.

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 provides 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 use ChatGpt for 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

Support for ChatGpt (version >= 1.11.0)

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 QcriTranslator translator (version >= 1.2.4)

Support for the DeeplTranslator translator (version >= 1.2.5)

Support for the Papago translator (version >= 1.4.4)

Support for the Libre translator

Support for ChatGpt

Support for proxy usage

Automatic single language detection

Batch language detection

Translate directly from a text file

Translate docx files (version >= 1.9.4)

Translate PDF files (version >= 1.9.4)

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$ poetry add deep-translator# for poetry usage

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

Also, you can install extras if you want support for specific use case. For example, translating Docx and PDF files

$ pip install deep-translator[docx]# add support for docx translation $ pip install deep-translator[pdf]# add support for pdf translation $ pip install deep-translator[ai]# add support for ChatGpt $ poetry add deep-translator --extras"docx pdf ai"# for poetry usage

Quick Start

from deep_translator import GoogleTranslator# Use any translator you like, in this example GoogleTranslatortranslated = 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 GoogleTranslatorproxies_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 --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.

Imports

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

Check Supported Languages

# default return type is a listlangs_list = GoogleTranslator().get_supported_languages() # output: [arabic, french, english etc...]# alternatively, you can the dictionary containing languages mapped to their abbreviationlangs_dict = GoogleTranslator().get_supported_languages(as_dict=True) # output: {arabic: ar, french: fr, english:en etc...}

Language Detection

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)

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)

# let's say first you need to translate from auto to germanmy_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 issuesmy_translator.target = 'fr' # this will override the target 'german' passed previouslyresult = 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 wellmy_translator.source = 'en' # this will override the source 'auto' passed previouslyresult = my_translator.translate(text=text)print(f"Translation using source = {my_translator.source} and target = {my_translator.target} -> {result}")

Translate batch of texts

texts = ["hallo welt", "guten morgen"]# the translate_sentences function is deprecated, use the translate_batch function insteadtranslated = GoogleTranslator('de', 'en').translate_batch(texts)

Translate from a file:

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

Mymemory Translator

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 insteadtranslated = MyMemoryTranslator('de', 'en').translate_batch(texts)

Translate from file

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

DeeplTranslator

Simple translation

text = 'Keep it up. You are awesome'translated = DeeplTranslator(api_key="your_api_key", source="en", target="en", use_free_api=True).translate(text)

Translate batch of texts

texts = ["hallo welt", "guten morgen"]# the translate_sentences function is deprecated, use the translate_batch function insteadtranslated = DeeplTranslator("your_api_key").translate_batch(texts)

QcriTranslator

Check languages

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

Check domains

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

Text translation

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.

Yandex Translator

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 sourcetranslated = 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 explicitlytranslated = 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

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')

ChatGpt Translator

Required and optional attributes

There are two required attributes, namely “api_key” (string) and “target” (string or list). Attribute “source” is optional.

You can provide your api key as an argument or you can export it as an env var e.g. export OPENAI_API_KEY=”your_key”

text = 'happy coding'translated = ChatGptTranslator(api_key='your_key', target='german').translate(text=text)

Translate batch of texts

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

Translate from a file:

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

Papago Translator

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

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:

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

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

Translate from a file:

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

BaiduTranslator

Simple translation

text = 'Hello world'translated = BaiduTranslator(appid="your-appid", appkey="your-appkey" source="en", target="zh").translate(text)

Translate batch of texts

texts = ["Hello world", "How are you?"]translated = BaiduTranslator(appid="your-appid", appkey="your-appkey" source="en", target="zh").translate_batch(texts)

Translate from a file:

translated = BaiduTranslator(appid="your-appid", appkey="your-appkey" source="en", target="zh").translate_file('path/to/file')

BaiduTranslator

Simple translation

text = 'Hello world'translated = BaiduTranslator(appid="your-appid", appkey="your-appkey" source="en", target="zh").translate(text)

Translate batch of texts

texts = ["Hello world", "How are you?"]translated = BaiduTranslator(appid="your-appid", appkey="your-appkey" source="en", target="zh").translate_batch(texts)

Translate from a file:

translated = BaiduTranslator(appid="your-appid", appkey="your-appkey" source="en", target="zh").translate_file('path/to/file')

Proxy usage

deep-translator provides 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")

File Translation

Deep-translator (version >= 1.9.4) supports not only text file translation, but docx and PDF files too. However, you need to install deep-translator using the specific extras.

For docx translation:

pip install deep-translator[docx]

For PDF translation:

pip install deep-translator[pdf]

Usage from Terminal

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

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

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

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

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 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 ;)

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

Here are some screenshots:

Phone

Tablet:

Website & Desktop app

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