Natural Text To Speech For Macbook
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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By using the product, you agree to our Terms of Service and have read our Privacy Policy.
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Frequently Asked Questions
The tool converts text into natural-sounding audio files, making it easy to listen to documents or other content on your Macbook.
Simply open the website in your browser, type or upload text, choose a voice and tone, and generate audio. It works seamlessly on Macbook without an app.
Yes, the tool is compatible with all Macbook models, including the Macbook Pro M3. It works in any Macbook browser.
In Standard Mode, choose from 10 AI voices like Xavier, Sterling, and Ember, each with unique characteristics to match various content needs.
The Professional tone is ideal for business content, offering a clear, controlled delivery suitable for formal presentations.
Describe your desired tone in text, such as "Calm and Reassuring," to create a custom vocal output for specific needs.
Yes, if logged in, you can download the generated .m4a audio to your Macbook Air for offline playback.
Yes, free users can preview generated audio clips of up to 10 seconds. Full features and downloads require log-in.
Ensure your internet connection is stable and that you're using a supported browser like Safari or Chrome. Issues may stem from connectivity or browser compatibility.
You can upload text, images with OCR, audio, and video files. Text is extracted for transcription and conversion into audio.
Yes, combine typed text with uploaded file text. Manage the order to ensure the content reads as intended.
Yes, the tool supports up to 15,000 characters per generation. For longer texts, create multiple files.
No, editing must be done using external software like GarageBand. Our tool generates final audio files.
No, an internet connection is needed for processing. Downloaded audio files can be played offline.
Audio generation typically takes up to 1 minute, depending on text length.