NeuroBridge — is a minimalist, high-performance interface designed for systems architects and power users to bridge the gap between human thought and digital execution. It expands the bandwidth of human-computer interaction by replacing manual typing with low-latency neural transcription.
"The fingers are the bottleneck of the mind. NeuroBridge expands that bandwidth."
- 🎙️ Neural Voice Input: Instant voice-to-cursor transcription using
Faster-Whisper(large-v3-turbo). - 🔊 High-Speed Auditory Bridge: Rapid content ingestion via Microsoft Edge Neural TTS at 2x+ speed.
- 🛡️ Privacy First: 100% local voice processing on your GPU. Your technical thoughts never leave your machine.
- ⚙️ Zero-UI Interaction: Operates as an invisible layer of the OS via global hotkeys. No windows, no clutter.
NeuroBridge is built on the premise that we can think and read much faster than we can type.
- Fast Data Dump (Input): Offload complex thoughts directly into your IDE/Terminal without breaking the state of "Flow".
- Rapid Ingestion (Output): Consume documentation through high-fidelity neural voices while maintaining visual focus on the code.
NeuroBridge employs a hybrid architecture to balance absolute privacy with high-quality synthesis:
- Sovereign Local Input (100% Secure): Speech-to-Text (STT) is handled entirely on your local GPU. Zero-telemetry.
- Edge-Neural Output: Text-to-Speech (TTS) utilizes Microsoft’s advanced neural engines via the Edge API for superior phonetic clarity.
- Zero-UI: The system lives in your system tray and is controlled via global hotkeys.
- Language Switching: Language detection is performed on the entire text block. Seamless on-the-fly switching is a roadmap feature for v2.0.
- Phonetic Accuracy: In mixed-language blocks, the primary language's voice is used, which may result in accented pronunciation of foreign technical terms.
- Runtime: Python 3.12 (Optimized for Windows 10/11)
- ML Core: CTranslate2 / Faster-Whisper (GPU-bound)
- Acceleration: CUDA 12.x / cuDNN (Requires NVIDIA RTX 30/40 series)
- I/O Logic: Win32 API,
pystrayfor state management,edge-ttssynchronization.
-
Clone the repository:
git clone https://github.com/SanMog/NeuroBridge.git cd NeuroBridge -
Initialize environment:
python -m venv .venv .venv\Scripts\activate pip install -r requirements.txt
-
Execution: Run
NeuroLauncher.vbsto initialize the bridge as a background service.
| Command | Action | System Response |
|---|---|---|
| Record | Hold F4 |
Speech is typed instantly at cursor position. |
| Listen | Ctrl + Q |
Clipboard is read aloud via Edge Neural HUD. |
| Manage | Right-Click Tray | Restart engines or exit system safely. |
Architect: SanMog
Status: 🟢 Operational | v1.1
License: MIT
"The system lives where your focus is."