=============== deep_translator =============== .. image:: https://img.shields.io/pypi/v/deep_translator.svg :target: https://pypi.python.org/pypi/deep_translator .. image:: https://img.shields.io/travis/nidhaloff/deep_translator.svg :target: https://travis-ci.com/nidhaloff/deep_translator .. image:: https://readthedocs.org/projects/deep-translator/badge/?version=latest :target: https://deep-translator.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. image:: https://img.shields.io/pypi/l/deep-translator :target: https://pypi.python.org/pypi/deep_translator .. image:: https://img.shields.io/pypi/dm/deep-translator :target: https://pypi.python.org/pypi/deep_translator .. image:: https://img.shields.io/pypi/status/deep-translator :target: https://pypi.python.org/pypi/deep_translator .. image:: https://img.shields.io/pypi/wheel/deep-translator :target: https://pypi.python.org/pypi/deep_translator .. image:: https://img.shields.io/github/last-commit/nidhaloff/gpx_converter :alt: GitHub last commit :target: https://pypi.python.org/pypi/deep_translator .. image:: https://img.shields.io/twitter/url?url=https%3A%2F%2Ftwitter.com%2FNidhalBaccouri :alt: Twitter URL :target: https://twitter.com/NidhalBaccouri .. image:: https://img.shields.io/badge/$-buy%20me%20a%20coffee-ff69b4.svg?style=social :target: https://www.buymeacoffee.com/nidhaloff?new=1 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. 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 Why you should use it ---------------------- - High level of abstraction - Easy to use and extend - It's the only python tool that integrates many translators - Stable - Support for most famous universal translators Features -------- * Support for google translate * Support for Pons translator (pons.com) * Support for the Linguee translator * Support for the Mymemory translator * 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. Usage ===== .. code-block:: python from deep_translator import GoogleTranslator, PonsTranslator, LingueeTranslator, MyMemoryTranslator text = 'happy coding' .. note:: You can check the supported languages of every translator by calling the get_supported_languages function as a static method. - Example of checking the supported languages for the google translator: .. 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...} - Simple translation: .. code-block:: python translated = GoogleTranslator(source='auto', target='de').translate(text=english_text) # Alternatively, you can pass languages by their name: translated = GoogleTranslator(source='english', target='german').translate(text=english_text) - Translate from a file: .. code-block:: python translated = GoogleTranslator(source='auto', target='german').translate_file('path/to/file') - Automate translation by detecting the source language .. code-block:: python # or maybe you have many sentences in different languages and want to automate the translation process translated = GoogleTranslator(source='auto', target='de').translate_sentences(your_list_of_sentences) - Maybe you would like to use the Pons translator: Pons.com .. code-block:: python word = 'good' translated_word = PonsTranslator(source='english', target='french').translate(word) # 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) - Alternatively deep_translator (version >= 1.0.0) supports the Linguee translator: .. code-block:: python word = 'good' translated_word = LingueeTranslator(source='english', target='french').translate(word) # 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) - The mymemory translator is also supported for version >= 1.0.2: .. code-block:: python word = 'Keep it up. You are awesome' translated_word = MyMemoryTranslator(source='auto', target='french').translate(word) Usage from Terminal ==================== For a quick access, you can use the deep_translator from terminal. For this to work, you need to provide the right arguments, which are the translator you want to use, source language, target language and the text you want to translate. For example, provide "google" as an argument to use the google translator. Alternatively you can use the other supported translators. Just read the documentation to have an overview about the supported translators in this library. .. code-block:: console $ deep_translator --translator "google" --source "english" --target "german" --text "happy coding" Or you can go for the short version: .. code-block:: console $ deep_translator -trans "google" -src "english" -tg "german" -txt "happy coding" If you want, you can also pass the source and target language by their abbreviation .. code-block:: console $ deep_translator -trans "google" -src "en" -tg "de" -txt "happy coding" ======== 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 =========================== The Translator++ mobile app =========================== .. image:: assets/app-icon.png :width: 100 :alt: Icon of the app After developing the deep_translator, I realised 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 .. 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 ========== Next Steps ========== Take a look in the examples folder for more :) Contributions are always welcome. Feel free to make a pull request and give me a feedback if you found the package useful or you are using it :)