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
💼
By using the product, you agree to our Terms of Service and have read our Privacy Policy.
Trusted by Millions Worldwide
4.4
2,100+ reviews on G2
4.4
8,200+ reviews on Capterra
4.4
73,000+ reviews on App Store
248M
Registered Users
5B
Notes Created
2M
Notes Created Daily
Frequently Asked Questions
This tool converts text from articles into natural-sounding audio files that you can listen to on your MacOS.
Yes, you can use this text-to-speech tool directly in your MacOS browser without any additional software installation.
You can convert RSS feed articles to audio by copying the text into the tool and choosing your desired voice settings.
Xavier's balanced voice or Zoe's warm voice works well for reading articles due to their clear, natural delivery.
Yes, you can choose from preset tones or describe a custom tone for a tailored audio experience.
Xavier offers a versatile, neutral delivery that sounds particularly natural for most text-to-speech needs.
Yes, the tool supports files up to 100 MB for upload, whether it's text, audio, or video files for transcription.
Logged-in users can download the generated audio files in .m4a format directly to their device.
Yes, the tool offers 10 AI voices, each with unique characteristics to match different moods and tones.
You can upload .txt, .md, .json, .csv files, as well as various audio and video formats for transcription.
Yes, you can upload multiple text files and reorder them for a continuous audio generation based on the reading order.
Yes, the tool has a limit of 15,000 characters per generation, which includes typed and extracted text.
Audio generation can take up to one minute, depending on the length and complexity of the text being processed.
No, an internet connection is required as the processing and audio generation are performed online.
For PDFs, you should copy-paste the text into the tool or convert the PDF text to a supported format first.