High-performance open-source utilities designed to run locally on your system. Built by our engineering team to solve real-world creation challenges.
Convert massive text files or documents into hours of high-quality spoken audio. Runs entirely offline on your desktop computer, bypassing expensive cloud API costs and keeping all your data fully secure.
Convert entire audiobooks, articles, or transcripts into continuous audio files spanning hours. Zero API limits or timeouts.
Native speech synthesis with high fidelity for English, Chinese, Japanese, Hindi, Spanish, Arabic, French, and Russian.
Runs entirely locally on your processor and graphics card. No voice samples or text data are ever sent over the network.
Provide a reference audio file (10-30 seconds) to clone target voices with expressive emotional mapping.
System Requirements:
Windows 10/11 or macOS, 8GB RAM, 2GB available storage (GPU support optional but recommended)
Extract the downloaded ZIP file to a directory on your local drive (e.g., C:/tools).
Run the configuration script (setup.bat for Windows or setup.sh for macOS/Linux) to install the necessary local libraries.
Open the app by running app.exe or python app.py, load your text document, choose a voice model, and start generating audio.
This tool contains no trackers or telemetry. All scripts are plain-text and readable, allowing you to review the pipeline codebase before running.
Let's schedule a 30-minute call to discuss your codebase, team structure, and target timeline.