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1月13日 的 Text2Speach 應用程式分析

Text2Speach

Text2Speach

  • DoItWell Application Ltd
  • Apple App Store
  • 免費版
  • 生產力
Text2Speech - an easy-to-use text-to-speech application Text2Speech is an application that converts text into natural speech. It offers two modes for reading individual words or pairs of words in documents. Key features: Monolingual mode: This mode is suitable for reading out single-language text content. Simply input the text you want to read into the application, and Text2Speech will automatically detect the language using advanced language recognition technology and read the text content in a smooth and natural voice. If the language detection is incorrect, you can manually change the language. Bilingual mode: This mode is designed for bilingual texts, with each pair of phrases consisting of two lines. Text2Speech will read the text content of each language separately for each pair of phrases, making it more convenient for bilingual learning or translation. Just input the document containing the dual-language phrases into the application, and Text2Speech will read each pair of phrases in sequence, helping you better understand and learn both languages. Both modes support marquee mode, and you can change the colors of the marquee page, including text, highlighted text, and background. Other features: Custom settings: You can adjust the font size, tone, and speech speed according to your preferences to meet different requirements for the reading experience. Multilingual support: Text2Speech supports multiple languages, including English, Simplified Chinese, Japanese, French, German, Spanish, Russian, Portuguese, and Italian. Regardless of which language you use, you can enjoy smooth and accurate speech conversion.
Text2Speach

商店排名

商店排名基於Google和Apple設定的多個參數。

所有類別 在
美國--
生產力 在
美國--
建立帳戶即可查看平均每月下載次數聯絡我們

隨時間變化的 Text2Speach 排名統計

Similarweb 的使用排名和Apple App StoreText2Speach排名

排名

無可用數據

Text2Speach按國家/地區排名

Text2Speach 在其主要類別中排名最高的國家

無可顯示數據

的頂級競爭對手和替代方案

來自同一應用商店,有很高可能被相同使用者使用的應用程式。

發聲文字

發聲文字

Biggo Limited

Text to Speech - Reader

Text to Speech - Reader

Reva Desai

Text To Speech + ai

Text To Speech + ai

Mehmet Demir

Text to Speech with AI Voices

Text to Speech with AI Voices

Do Tri

Text2Speach VS.

1月 13, 2026