📘 Overview
transcribe‑assistant v1.0.1 is the first public release of the offline, low‑latency speech‑to‑text engine built for automation workflows, assistants, accessibility tools, and privacy‑sensitive environments.
This version introduces the complete core architecture, real‑time transcription pipeline, and a fully local Faster‑Whisper inference engine with zero cloud dependencies.
✨ Key Features
- Offline speech‑to‑text with no network calls
- Local Faster‑Whisper inference
- Real‑time transcription with ~250 ms latency on CPU
- Zero telemetry and privacy‑first design
- Modular backend architecture ready for extensions
- Session recording for reproducible workflows
- Deterministic PRO pipeline foundation for compliance‑ready use cases
🛠️ Improvements & Stability
- Optimized audio buffering for smoother streaming
- Reduced inference latency and improved CPU performance
- Cleaned and reorganized repository structure
- Added initial documentation structure under
docs/ - Introduced release workflow and maintenance branch
release/v1.0.x
🧱 Architecture Highlights
- Clear separation of audio capture, preprocessing, inference, and output
- Support for multiple Faster‑Whisper model sizes
- Predictable, reproducible inference path for PRO mode
- Ready for integration with Krunixbase agents
🔮 Roadmap
- WebSocket streaming
- Voice Activity Detection (VAD)
- Speaker diarization
- Deterministic PRO engine
- Command‑line interface