Realistic Text To Speech For Linux
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
This tool converts text into natural-sounding audio files, allowing users to type text or upload files, choose from a selection of voices, and generate audio.
Our text-to-speech tool offers natural-sounding audio output, perfect for various applications on Linux, including Ubuntu.
Yes, the tool can be accessed via a web browser in Ubuntu server environments. No specific server installation is required.
While the tool is accessed through a web interface, Linux terminal usage can involve running scripts that interface with the tool for text input.
The tool offers a free plan with 10-second previews. Full audio access and additional features are available when logged in.
Logged-in users can download generated audio files in .m4a format directly to their Linux system for offline use.
Ember, Zoe, and Lyra are excellent choices for a warm tone, providing a soothing and approachable audio experience.
The tool does not specifically enhance bass, but choosing voices like Hudson can provide a deeper, richer sound naturally.
Yes, you can input up to 15,000 characters per session, which includes typed text and text extracted from uploaded files.
Text (.txt, .md), images (.jpg, .png), audio (.mp3), and video files (.mp4) are supported for uploading and conversion.
Xavier offers a balanced, neutral delivery ideal for realistic applications, while Hudson's melodic voice adds a lyrical quality.
No, an internet connection is required as processing occurs online. Audio files can be played offline once downloaded.
No, audio or video files must be 60 minutes or shorter for conversion. For longer content, break it into segments.
Yes, you can select from four preset tones or describe a custom tone with text for nuanced audio delivery.
Audio generation typically takes up to 1 minute, depending on the length and complexity of the input text.