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
Voice
Xavier
Tone
💼
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Frequently Asked Questions
It's a web-based AI tool that converts text into natural-sounding audio, perfect for use on Macbooks without needing specific apps.
No, it's a browser-based service that works seamlessly on Macbook, allowing text-to-speech conversion without additional software.
Simply open the platform in your Macbook browser, type or upload text, select a voice and tone, and convert it to speech.
Voices like Ember and Zoe offer warm, natural outputs ideal for general use, while Xavier provides a balanced delivery perfect for varied content.
Yes, you can choose from preset tones or create a custom tone by describing your preference, enhancing the speech output's suitability for your needs.
While there isn't a specific Macbook shortcut, the platform's user-friendly interface ensures quick text conversion, making it feel seamless.
Yes, logged-in users can download the generated audio as .m4a files directly to their Macbook for offline use.
Ensure your internet connection is stable and you are using a supported browser like Safari or Chrome. Clear the cache if issues persist.
Yes, it functions across all Macbook models, including the Macbook Pro M3, using any modern browser.
Logged-in users can adjust playback speed with options like 0.75x to 2x, allowing more control over how audio is consumed.
Yes, you can convert up to 15,000 characters per session. This includes both typed text and text extracted from uploads.
No, the tool requires an internet connection for the AI processing. However, downloaded audio files can be played offline.
You can upload text files (e.g., .txt), images for OCR, and audio or video files for transcription before conversion to speech.
No, this tool doesn't support voice cloning. You choose from pre-trained AI voices to suit your content needs.
The text-to-speech conversion takes up to one minute depending on text length and processing demand.