Human Sounding Text To Speech For Mac
About us
English
Turn your text into a natural voice
Transform your text into an engaging podcast recording
Turn your text into a compelling story
Customize voiceVoice
Xavier
Tone
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Frequently Asked Questions
This tool converts text into natural-sounding audio files. It supports various file uploads and generates downloadable .m4a audio.
Yes, our tool works on Mac through any web browser. No software installation is needed, just access it online for easy conversion.
Yes, logged-in users can download the generated audio files as .m4a directly to their Mac for playback in any audio player.
Griffin and Xavier provide balanced and authoritative voices suitable for professional content on Mac devices.
Simply visit the website through your browser on any Mac device. The interface is optimized for easy use on Macintosh systems.
The tool functions consistently across platforms, offering seamless text-to-speech conversion on Mac without needing special apps.
Upload text, image, audio, and video files including .txt, .jpg, .mp3, and .mp4. The tool supports file transcription and text extraction.
Free users get a 10-second preview for each generation. Full audio download and other features require logging in.
Yes, you can create custom tones by describing them in text, allowing nuanced results for your Mac-based projects.
The tool supports up to 15,000 characters per conversion, including typed and extracted text from uploads.
The voices, like Hudson's melodic tone or Ember's warm delivery, are designed for natural, human-like speech suitable for various applications.
The tool does not support audio editing. Download the .m4a files and use software like GarageBand on Mac for editing needs.
No, an internet connection is needed for processing, but downloaded audio files can be played offline afterwards.
Yes, you can combine typed text with uploaded files in a single project. Arrange them as needed before generating audio.
Audio generation typically takes up to 1 minute, depending on the text length and complexity.