DeepL for Windows Download for free DeepL foriOSandAndroid Download for free DeepL for Chrome Download for free DeepL is hiring!Join us in breaking down language barriers See open jobs Millions translate with DeepL every day. Popular English to ChineseEnglish to FrenchChinese to English ...
适用于Windows的DeepL应用程序 免费下载 DeepLiOS和安卓 免费下载 DeepL Chrome扩展 免费下载 DeepL is hiring!Join us in breaking down language barriers See open jobs 每天有数百万用户使用DeepL进行翻译。 热门: 英语译中文英语到波兰语中文译英语 其他语言: ...
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You are about to download theDeepL Translate 1.34.0 Extension crx file for Chrome based browsers: DeepL: AI translator and writing assistant, Translate while you read and write with DeepL Translate, the world’s most accurate translator. ... The offline & original crx file ofDeepL Translate v...
DeepL translator is a freeProductivityExtension for Chrome. You could download thelatest version crx fileorold version crx filesand install it. UNOFFICIAL Open Source Chrome Extension for the DeepL Translator. It just loads an iFrame of https://www.deepl.com/translator. ...
You are about to download theDeepL Translate 24.13 for iPhone and iPad (iOS 17.0 or Later): DeepL Translate is a free Productivity App: DeepL: translate & write, AI translator and writing tool... Productivity > DeepL: translate & write ...
如何运行 打开 HTML 文件,输入文本,选择语言并单击翻译按钮。 关于翻译器 这个翻译器使用 DeepL API,它识别源语言并将文本翻译成目标语言。 该请求是使用“DeepL API Free”端点的 POST。 (0)踩踩(0) 所需:1积分 FaddyProgrammer 2025-01-09 20:07:00 ...
Download DeepL 24.12.11514700 for Mac - Powerful, versatile, and easy-to-use translator that can process entire documents, clipboard text, and even text extracted from screen captures
deep-translator = "~=1.9" [requires] python_version = "3.10" We will use these packages throughout the tutorial, therefore install it by running: pipenv install Also, create an empty .env file and an src directory. Inside the src directory, let’s add an i18n folder with an en....
(text, source_lang: str = 'EN', target_lang: str = 'ZH', context: str = '', split_sentences: str = '1', formality: str = 'prefer_less', glossary: str = ''): translator = deepl.Translator(auth_key) result = translator.translate_text( text=text, source_lang=source_lang, ...