1.1.9 Сейф для установки
Books Speak in Your Native Language with Native Vision Impaired Mode
Talkie OCR is a cutting-edge OCR scanner that provides a Vision Impaired Mode, allowing for the conversion of images containing human-readable characters into text content. This content is subsequently transformed into human voice in your native language and accent. The features of this tool include:
- Automatic Recognition of Input Language and Accent: The scanned image, whether it's a book page, magazine, journal, scientific paper, etc., is recognized and converted into text content. You can then listen to the playback of this text in your local accent or in over 45 languages.
- Built-in Translation Service: If you encounter text that you do not understand, you can utilize the built-in translation service to translate it into over 30 foreign languages.
- Generate PDFs instantly, copy to device clipboard, and share your scanned documents with others.
- State-of-the-art OCR processing algorithm powered by PixLab.
- Voice output available in over 45 languages and their respective accents.
- Built-in translation service for over 30 foreign languages.
- Ad-free experience at all times.
- Supports AirPrint, PDF Generation, and Folder Save functionalities.
- Built-in Vision Impaired Mode with automatic language recognition.
- Ability to pause and resume playback at your request.
- Offline save option for later reading and playback.
For more information, refer to the Terms of Use and Privacy Policy.
Обзор
Talkie OCR - Image to Speech — это Freeware программное обеспечение в категории Бизнес, разработанное MRAD CHAMS EDDINE.
Последняя версия Talkie OCR - Image to Speech-1.1.9, выпущенный на 22.03.2024. Первоначально он был добавлен в нашу базу данных на 22.03.2024.
Talkie OCR - Image to Speech работает на следующих операционных системах: iOS.
Пользователи Talkie OCR - Image to Speech дал ему Рейтинг 5 из 5 звезд.
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Reviewer's Note: Translated and edited for a more professional tone. Hello, I am Shalin Shah, the developer of Voice. Currently, I am a senior studying computer science at the University of California, Berkeley.Последние обновления
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