Read Aloud Books on iPad
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
Customize voiceVoice
Xavier
Tone
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Frequently Asked Questions
To use text to speech on iPad, type or upload your book text, select a natural AI voice and tone, and generate audio files for listening.
Yes, you can read Kindle books on an iPad by extracting text and converting them to audio using the text to speech feature for a hands-free experience.
Yes, the tool uses advanced AI voices that deliver natural and realistic audio output, enhancing your reading experience on iPad.
Logged-in users can adjust playback speed with options from 0.75x to 2x, allowing more flexibility in how you listen to books on your iPad.
The tool currently does not support PDF files directly. Copy-paste the text into the tool to convert it into speech.
For a warm and friendly voice, consider using Ember or Zoe, which both offer soothing and personable tones.
Text to speech on iPad offers an auditory alternative to visual reading on Kindle, adding flexibility for listening in various settings.
You can upload .txt, .json, .csv files, and more. For other formats, OCR or transcription will extract the necessary text for conversion.
Yes, describe your desired tone in text, such as "Polite and Energetic," for personalized audio that suits your preferences.
Yes, listening to books on iPad via text to speech allows for a relaxing experience in bed, offering a distraction-free alternative.
Yes, a maximum of 15,000 characters is allowed per session. This includes typed text and extracted text from uploads.
Internet is required for generating audio. However, once downloaded, audio files can be played offline on your iPad.
No, the tool does not support audio editing. Any modifications must be done post-download using external audio editing software.
The maximum allowable file size for uploads is 100 MB, whether it's audio, video, or document files.
Yes, you're able to mix both typed text and text from uploaded files, which the tool will auto-transcribe for conversion.