Voice

Local speech-to-text for the OpenCode TUI.

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Install

One command through OpenCode:

opencode plugin @hxnnxs/opencode-voice

Restart OpenCode after installing. On first launch, choose a model. The plugin downloads its required local runtime and model weights automatically. Audio and transcription stay on your machine.

Optional CLI installer. It runs the same OpenCode plugin install command and pre-downloads the managed engine:

npx @hxnnxs/opencode-voice install

Update an installed plugin to the latest published version, then restart OpenCode:

npx @hxnnxs/opencode-voice update

Add --global if the plugin was installed in OpenCode's global configuration.

Do not clone the repo unless you want to develop the plugin.

[!TIP] First launch opens a model picker. Choose a local model, let it download, then use ctrl+r to dictate into the prompt.

What It Installs

The plugin manages the STT engine and models:

• downloads whisper.cpp or the Rust transcribe-cpp sidecar from the opencode-voice GitHub Release registry
• stores each runtime in ~/.cache/opencode-voice/engines/<engine>/<platform>-<arch>/
• downloads the selected model on first setup

Manual runtime installation is optional. Existing whisper-cli or opencode-voice-transcribe binaries can also be imported through the CLI.

Check your machine:

npx @hxnnxs/opencode-voice doctor

Install or inspect a managed runtime without opening OpenCode:

npx @hxnnxs/opencode-voice engine install transcribe-cpp
npx @hxnnxs/opencode-voice engine status transcribe-cpp

Use It

Commands:

• /voice - toggle recording and append transcription
• /voice-submit - toggle recording, append transcription, and submit
• /voice-stop - cancel active recording or transcription
• /voice-settings - open model, hotkey, microphone, and diagnostics settings

Default hotkey:

ctrl+r -> start recording
ctrl+r -> stop, transcribe, and append

In /voice-settings -> Recording, choose one Record key. Toggle recording starts on the first press and transcribes on the second. Hold-to-talk is shown as unavailable until OpenCode exposes terminal key-release events to TUI plugins.

Settings also let you select a microphone, language, model, download location, and whether /voice submits the prompt after transcription.

Models

The picker includes 19 whisper.cpp GGML choices and 68 ASR GGUF models from Handy's transcribe.cpp catalog. Pick one model at a time; only that model is downloaded.

Useful whisper.cpp starting points:

Model	Size	Notes
Whisper Tiny Q5_1	31 MB	fastest, lowest accuracy
Whisper Base Q5_1	57 MB	small multilingual option
Whisper Small Q5_1	181 MB	compact Small
Whisper Small	465 MB	default, multilingual
Whisper Medium Q4_1	469 MB	Handy-compatible quantization
Whisper Medium Q5_0	514 MB	higher-quality multilingual
Whisper Turbo Q5_0	547 MB	compact large-v3 Turbo
Whisper Turbo	1.5 GB	large, faster than full large
Whisper Large Q5_0	1.0 GB	accurate, slower

The managed transcribe-cpp sidecar provides these Handy catalog families. Diarization and VAD assets are excluded because they do not produce text through the transcription runtime.

Model	Size	Notes
Parakeet, Nemotron, GigaAM	varies	English, multilingual, and Russian models
Moonshine	varies	English plus language-specific variants
Canary, Cohere, SenseVoice, Fun-ASR	varies	multilingual and specialized recognizers
Whisper, Breeze, Voxtral, Qwen, Granite	varies	general-purpose and language-specialized models

Model downloads support resume, retry, progress, and SHA256 verification. Sidecar catalog URLs are pinned to an upstream Hugging Face revision and their LFS SHA-256 digest, so a model cannot be activated until its expected artifact verifies.

[!NOTE] Large models can require multiple gigabytes of disk space and significant memory. Start with Whisper Small, GigaAM V3 for Russian, or Parakeet for a fast GGUF option.

Troubleshooting

Run diagnostics first:

npx @hxnnxs/opencode-voice doctor

• Engine not found in registry: transcribe-cpp: the installed plugin expects a release registry that does not yet include the sidecar. Update the plugin after its matching Engine Release is published, or locally import a built sidecar with opencode-voice engine import transcribe-cpp <path>.
• Could not start recorder on Windows: open /voice-settings and select the enumerated microphone rather than relying on the system default. The error includes the exact ffmpeg command and stderr for diagnosis.
• Hold-to-talk is unavailable: current OpenCode releases do not expose terminal key-release events to TUI plugins. Use the default ctrl+r toggle mode instead.

Platform Status

Platform	Status
Linux	one-command engine/model install; recording uses arecord, ffmpeg, or sox
macOS	one-command engine/model install; recording uses ffmpeg AVFoundation until the native recorder sidecar ships
Windows	one-command engine/model/recorder install; recording uses DirectShow through a managed cached ffmpeg.exe, with system/bundled ffmpeg fallback

Architecture

The package follows the public OpenCode TUI plugin shape used by community plugins.

• npm package exports ./tui
• local development can point tui.json at an absolute path
• published install uses opencode plugin @hxnnxs/opencode-voice
• runtime settings live in OpenCode TUI plugin storage

Files:

• index.js - TUI plugin entrypoint, commands, dialogs, keymap layer
• lib/models.js - model registry, cache paths, default settings
• lib/download.js - resumable model download and SHA256 verification
• lib/engine.js - recorder selection, managed Windows recorder install, and runtime-routed transcription
• lib/engines.js - managed native engine download, status, import, and removal
• lib/handy-model-catalog.js - pinned Handy GGUF model metadata
• bin/opencode-voice.js - install wrapper and diagnostics CLI
• sidecar/ - Rust transcribe-cpp command-line runtime for GGUF models

Voice input needs native audio and STT binaries. The JS plugin manages OpenCode UI, settings, model downloads, and prompt insertion. The managed Rust sidecar provides the transcribe.cpp runtime for supported GGUF model families.

Roadmap

• Rust recorder sidecar with cpal and VAD
• streaming transcription for sidecar models
• Windows recorder stability and UX polish

Development

Run checks:

npm run check
npm pack --dry-run
cargo check --manifest-path sidecar/Cargo.toml

The JavaScript plugin has no frontend build step. The optional GGUF runtime is a Rust sidecar built by the Engine Release workflow.

Use the current checkout in OpenCode:

git clone https://github.com/ihxnnxs/opencode-voice.git opencode-voice
cd opencode-voice
opencode plugin "$(pwd)"

Project Status

This is an independent OpenCode plugin. It is not built by the OpenCode team and is not affiliated with OpenCode.

Credits

• OpenCode wordmark SVG adapted from the public OpenCode repository. The voice mark was added for this plugin.
• Handy inspired the local-first model experience and supplies the curated transcribe.cpp model catalog this plugin pins and verifies.
• Local Whisper transcription uses whisper.cpp.
• Handy GGUF transcription runs through the Rust transcribe-cpp binding and its upstream transcribe.cpp runtime.
• Recording and conversion rely on FFmpeg where the platform recorder requires it; managed distribution uses ffmpeg-static.
• Model artifacts are hosted by Hugging Face. Individual model creators and licenses remain those declared by each upstream model repository; their pinned source URLs are retained in lib/handy-model-catalog.js.

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