Pocket TTS is a lightweight text-to-speech project designed to run efficiently on CPUs, targeting developers who want local speech generation without depending on GPUs or hosted web APIs. It is built to feel practical in everyday applications, where installation and usage should be as simple as adding a dependency and calling a function. The project focuses on keeping the runtime footprint manageable while still producing natural-sounding speech, which makes it attractive for offline tools, prototypes, and privacy-sensitive workflows. Because it is CPU-oriented, it fits well in server environments where GPU access is limited, in desktop apps, or in edge deployments where simplicity matters more than maximum throughput. It also emphasizes developer ergonomics, providing a straightforward API surface that can be integrated into pipelines, assistants, accessibility tools, or batch generation scripts.
Features
- CPU-efficient text-to-speech designed to run without a GPU
- Simple install-and-call developer workflow for fast integration
- Local generation model that avoids reliance on hosted TTS APIs
- Practical for offline, privacy-focused, and edge deployments
- Straightforward API surface suitable for apps and automation
- Compatible with modern Python environments and common ML runtimes