Talkie OCR - Image to Speech 1.1.9

MRAD CHAMS EDDINE – Freeware – iOS
dos votos de 33

Versão mais recente
1.1.9 Seguro para instalar

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.

Visão geral

Talkie OCR - Image to Speech é um software Freeware na categoria Negócio desenvolvido pela MRAD CHAMS EDDINE.

É a versão mais recente de Talkie OCR - Image to Speech 1.1.9, lançado em 22/03/2024. Inicialmente foi adicionado ao nosso banco de dados em 22/03/2024.

Talkie OCR - Image to Speech é executado nos seguintes sistemas operacionais: iOS.

Usuários de Talkie OCR - Image to Speech deram-lhe uma classificação de 5 de 5 estrelas.

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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.

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