dsh-voice-input
Run the following command in DeepSeek Harness:
dsh plugin install opensquad-ai/dsh-voice-input
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install opensquad-ai/dsh-voice-input in the DeepSeek Harness terminal to install this voice-input plugin; the source code is available at https://github.com/opensquad-ai/dsh-voice-input .
About this plugin
Voice input has been a missing piece in the DeepSeek Harness web chat for a long time—every thought had to be typed out one character at a time. dsh-voice-input fills that gap by placing a microphone button right beside the input field: tap once to start recording, tap again to stop, and the transcribed text lands in the box automatically, with no window-switching or external tools required.
All transcription runs on a local SenseVoice service, so no audio ever leaves your machine. The first time you hit the mic, the plugin silently downloads the roughly 230 MB model while a ring animation and a live percentage counter appear on the button itself. A separate gear button lets you inspect or remove the installed model whenever you like. Python dependencies (flask, onnxruntime, librosa, and friends) and the backend processes are also handled automatically when dsh starts up; the only thing you need to prepare yourself is a Python 3.10+ interpreter on the system PATH.
It is built for writers and developers who think in voice and want to cut down on long typing sessions, as well as researchers who prefer to keep audio data entirely on-device. If your DeepSeek Harness runs on the Web profile and your browser supports the MediaRecorder API, you are all set to plug in and go.
Use Cases
- Dictate a full paragraph of ideas into the chat box in one take instead of typing word by word
- Transcribe audio fully offline so sensitive content never touches a cloud service
- Cut down wrist fatigue during long writing or coding sessions by speaking instead of typing
Best For
- Writers and developers who produce large amounts of text and think out loud
- Privacy-conscious users who prefer every piece of audio processed locally
- Everyday users of the DeepSeek Harness Web profile
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