Phonara Studio turns books, scripts, and podcast episodes into distribution-ready audio — ACX-compliant MP3 audiobooks and podcast episodes, generated entirely on your machine.
Phonara handles the entire technical spec automatically. Every download meets the Audible/ACX audio requirements out of the box.
Phonara manages show-level defaults so your intro and outro record once and reuse forever. Every episode is one click from a submission-ready MP3.
Five steps from import to a file ready to upload to ACX, Audible, Spotify, or any podcast host.
Embed non-verbal sounds and pronunciation overrides directly in your text. No post-processing. No audio editor.
Phonara runs entirely on your hardware. An NVIDIA GPU dramatically speeds up generation, but CPU mode is fully supported for all platforms.
Our platform setup scripts handle every dependency automatically — Python, PyTorch with the right CUDA version, FFmpeg, Whisper, and all libraries. One script, done.
C:\PhonaraStudio\setup_windows.bat and choose Run as administrator. The script will:venv\requirements.txtstart_phonara.bat. The app opens at http://localhost:7000 in your browser automatically.:: [1/6] Check / install Python 3.11 python --version >nul 2>&1 || ( winget install --id Python.Python.3.11 --silent ) :: [2/6] Install FFmpeg ffmpeg -version >nul 2>&1 || ( winget install --id Gyan.FFmpeg --silent ) :: [3/6] Create virtual environment python -m venv venv call venv\Scripts\activate.bat :: [4/6] Detect GPU — correct PyTorch build nvidia-smi >nul 2>&1 && ( pip install torch torchaudio ^ --extra-index-url https://download.pytorch.org/whl/cu128 ) || ( pip install torch torchaudio ^ --index-url https://download.pytorch.org/whl/cpu ) :: [5/6] Install all Python dependencies pip install -r requirements.txt :: [6/6] Create project folders mkdir templates episodes voices voice_temp media shows echo Setup complete — run start_phonara.bat
No subscriptions. No cloud fees. No API keys. Run on your GPU, produce ACX-ready audiobooks and podcast-ready episodes, and keep every file.
Windows · Linux · macOS · NVIDIA GPU recommended · CPU supported