NeuralScio includes voice support for spoken queries, dictated notes, and spoken playback inside the research workflow.
Available Voice Backends
| Backend | Status | Notes | |----------|--------|-------| | OpenAI Realtime | Implemented | Cloud voice path | | Gemini Live | Implemented | Cloud voice path | | Grok Voice | Implemented | Cloud voice path | | Local voice path | Implemented | Speech-to-text plus text-to-speech components on the local machine |
What Voice Is Good For
- dictating a quick research question
- capturing notes without leaving the current reading context
- listening to summaries or passages
- accessibility and hands-occupied workflows
Local Voice Path
The local voice path is the strongest privacy-oriented setup. Desktop code shows:
- Whisper-based speech-to-text support
- local model integration
- system text-to-speech with optional Piper support
Voice works best as a supporting layer for dictation and playback, not as a replacement for the main desktop UI.
Cloud Voice Path
The cloud backends are useful when you want:
- lower-latency conversational behavior
- managed provider-quality speech handling
- voice sessions tied to the same cloud provider stack as the rest of your AI setup
Setup Guidance
1. Open the voice settings in the desktop app. 2. Choose a cloud or local backend. 3. Add the required provider credentials for cloud backends, or configure local components for the local path. 4. Test microphone and playback before relying on voice in a longer session.
Privacy Boundary
- Cloud voice sends audio to the selected provider.
- Local voice keeps processing on your machine.
- The best setup depends on whether you prioritize convenience or local control.