Transcribe.cpp – ggml speech-to-text inference engine

- **Transcribe.cpp** is an open-source, offline speech-to-text inference engine built on top of **ggml** (a tensor library for machine learning, best known for powering llama.cpp, which brought large language models to consumer hardware). - It is created by **Handy Computer** (a small independent developer), and unlike cloud-based solutions (e.g., OpenAI Whisper API, Google Speech-to-Text), it runs entirely on your own machine — no internet required, no data leaves your computer. - The project matters because it makes local, private, real-time speech recognition feasible on modest hardware (including laptops and possibly Raspberry Pi-class devices), addressing privacy and cost concerns around cloud transcription services. - Prior context: ggml-based projects (llama.cpp, whisper.cpp, stable-diffusion.cpp) have been pushing the frontier of running AI models locally. Transcribe.cpp is a successor/alternative to whisper.cpp, aiming for lower latency and a simpler codebase.