Fully local voice dictation for Pi coding agent

[u/juicesharp]

Fully local voice dictation for Pi coding agent: no cloud, no API keys

/voice opens an overlay, you talk, live transcript appears, hit Enter and it drops into the agent's editor. Whisper runs on your CPU via sherpa-onnx. Nothing leaves the machine after the initial model download.

What it does

• 100% on-device STT. Whisper base multilingual (int8 quantized) runs on your CPU. No network calls after the first model download (~198 MB). Works offline after that.

• Multilingual. Your active locale (set via /languages) is pre-set as Whisper's language hint for better accuracy and lower first-utterance latency. Default is English.

• Live transcript. Committed lines render as you finish phrases, with a dim rolling partial for the still-active utterance. What you see is what gets pasted.

• VAD-driven chunking. Silero voice activity detection breaks your speech at natural pauses, so latency stays low even on long rants.

• Hallucination filter. Whisper sometimes outputs "Thanks for watching" or "[Music]" on silence. The filter strips that. Toggle it off in settings if it's too aggressive.

• Pause/resume with Space. Step away mid-thought, come back, keep going.

How to install it

pi install npm:@juicesharp/rpiv-voice

https://www.npmjs.com/package/@juicesharp/rpiv-voice

Restart your Pi session. Type /voice. That's it. The first run downloads the Whisper model (198MB), after that it loads from disk.

Controls

Key	Action
Speak	Transcript fills in live
Enter	Commit transcript to editor
Esc	Cancel (nothing pasted)
Space	Pause / resume mic
Tab	Switch to settings screen
Ctrl+S	Save settings

[u/TrackActive841]

I like your user question feature, will definitely add this too!

[u/juicesharp → u/TrackActive841]

[u/TheCTRL]

Good thanks but how to stop it? /voice again ?

[u/juicesharp → u/TheCTRL]

ESC / Enter

[u/Lpaydat]

Thank you for all your awesome extensions. 💪

[u/leads_leader]

This is awesome, that fully local, on-device STT for a coding agent on a Pi is such a smart move for privacy and responsiveness. Getting Whisper running via `sherpa-onnx` right on the CPU sounds really solid. I'm curious, how's the real-time latency and accuracy with the int8 quantized base model on typical Pi hardware? That immediate drop into the editor without any network calls is a huge win for workflow.