Read Aloud Books on MacOS
About us
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Turn your text into a natural voice
Transform your text into an engaging podcast recording
Turn your text into a compelling story
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Tone
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Frequently Asked Questions
Yes, you can read aloud books on MacOS by converting text to audio using AI text-to-voice technology. Upload your book files and generate natural-sounding audio.
Yes, you can use this tool to read Kindle books aloud on MacOS by uploading text or transcribed content, allowing you to listen to your favorite books.
Start by uploading your text or book files, select a voice, and generate audio. The tool produces natural-sounding audio files playable on your Mac.
Yes, the tool functions well on macOS Ventura as well as other versions like Sonoma, Sierra, Monterey, and Big Sur, as it runs in the browser.
In Standard mode, choose from Professional, Calm, Friendly, or Excited tones to tailor the delivery of your book's narration.
For a warm and inviting reading experience, try voices like Ember or Lyra. For energetic narratives, Mia or Atlas are excellent choices.
Yes, you can combine text from multiple files, including .txt, .md, and even images with text extraction, to create continuous narration.
Yes, there is a 15,000 character limit for each session, which includes typed and extracted text from uploaded files.
Logged-in users can download the full audio in .m4a format, making it accessible for offline listening on your Mac.
No, you need an internet connection to generate audio because the processing occurs online, but downloaded files can be played offline.
Yes, any text file, including free books, can be transformed into spoken audio using this tool's text-to-voice capabilities.
Yes, free users can listen to a 10-second preview of the generated audio. Logged-in users can access the full audio output.
Generating audio may take up to 1 minute, depending on the length of the text and current server load.
Yes, as new books are available and formatted in supported text files, you can upload and convert them to audio.
Uploaded files have a maximum size of 100 MB each, ensuring efficient processing during conversion.