NaturalReader is a powerful, easy-to-use speech synthesis software that helps users improve reading efficiency and reduce reading burden by converting text into high-quality speech. Complete features and functionality make this software ideal for learners, book lovers, and the visually impaired.
Software features
Natural and realistic speech: NaturalReader uses advanced speech synthesis technology to provide realistic speech output, allowing listeners to experience a natural and smooth reading experience.
Multi-language support: The software provides multi-language pronunciation options to meet the needs of different user groups, allowing users to enjoy reading text content.
Adjustable pronunciation speed and pitch: Users can freely adjust the speed and pitch of speech synthesis according to personal preferences and needs to achieve the best listening effect.
Text highlighting: The software can automatically highlight the currently read text content according to the reading progress, making it convenient for users to follow the reading and improving the reading effect.
Multi-platform support: NaturalReader provides versions for multiple platforms such as Windows, Mac, iOS and Android, allowing users to enjoy high-quality voice reading anytime and anywhere.
Software function
Text-to-speech: Users can input any text content into the software, and then by selecting the voice option, the text is converted into high-quality voice audio, which facilitates users' auditory learning and reading.
Text editing: The software has a built-in text editor. Users can freely edit text content, add, delete, and modify text to meet personalized needs.
Batch conversion: Supports batch conversion function, users can input multiple text files at one time, and then the software will automatically convert them into corresponding voice audio files.
Voice export: The software supports converting text into voice audio files. Users can export the generated audio locally and listen to it anytime and anywhere.
Content splitting and merging: Users can split and merge text content as needed to facilitate personalized learning and reading applications.
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