Convert Text To Audio on Ubuntu
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. You can type or upload text, select a voice and tone, and download the audio as an .m4a file.
Yes, it works seamlessly on Ubuntu through any modern web browser. Simply access the service online without needing any application installation.
The tool accepts text files like .txt, .md, .json, and .csv, images for OCR text extraction, and audio/video files for transcription.
Yes, users can access a free version that allows generating 10-second audio previews to evaluate the service.
In standard mode, choose from 10 AI voices, including Xavier (balanced), Sterling (profound), Hudson (melodic), Mia (energetic), and others, each with unique qualities.
Audio generation may take up to 1 minute depending on the text length and selected options.
No, the tool only generates final audio files. For editing, download the .m4a file and use external software like Audacity.
Each conversion is limited to 15,000 characters, combining both typed text and extracted text from uploaded files.
Logged-in users can download full audio files in .m4a format directly to their device for offline use.
Yes, it can transcribe text from video files including .mp4, .webm, and others before converting to audio.
Yes, in standard mode, users can create custom tones by describing their desired sound, providing flexibility for unique audio needs.
The tool requires an internet connection as the processing is done online. Downloaded audio files play offline once generated.
While PDFs aren't directly accepted, you can copy the text from a PDF document and paste it into the input field for conversion.
The tool supports multiple languages according to the text input. Mixed-language texts are also handled appropriately.
Depending on the video style, a Professional tone works well for formal videos, while Excited tone suits more dynamic content.