Read Aloud with Custom Voice
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
It allows users to convert text into audio using customizable voices and tones, creating personal and engaging listening experiences.
In Standard mode, choose from four preset tones like Professional and Calm, or describe your own tone for a custom audio experience.
Yes, logged-in users can control playback speed from 0.75x to 2x, tailoring the listening experience to personal preference.
Hudson offers a melodic delivery, while Xavier provides a neutral balance. Ember, Zoe, and Lyra deliver warm tones for natural-sounding output.
Sterling's deep and authoritative tone is ideal for content that requires a profound and impactful voice.
Describe the tone you want in text to create a custom voice. This option is available in Standard mode for nuanced voice adjustments.
Yes, free users can generate a 10-second preview with customizable settings to experiment with various voices and tones.
The tool is accessible online and free for basic features, offering previews for those exploring the custom voice options.
Yes, upload text files like .txt or .csv, or use images, audios, or videos for transcription and reading aloud with custom voices.
There is a 15,000 character limit, combining typed and extracted text. For larger projects, consider breaking them into multiple sessions.
Story Mode, with its optimized preset for narration, is designed for storytelling and audiobook content, providing seamless narration.
No, access and use the service directly through any browser without downloading an app. It supports various devices and platforms.
Yes, users can upload multiple files, reorder them for reading order, and convert them into audio in one session.
No, an internet connection is necessary as the AI processing occurs online. However, downloaded .m4a files are available for offline listening.
Yes, generated audio is in .m4a format only, ensuring compatibility with most media players but limiting format options.