win-whisper

Transcribe speech to text locally on Windows using Whisper models.

6|1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/IrisGoLab/PCClaw --skill win-whisper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: win-whisper
Source: https://github.com/IrisGoLab/PCClaw/tree/main/skills/win-whisper
Command: npx skills add https://github.com/IrisGoLab/PCClaw --skill win-whisper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribes speech to text locally using Whisper models without sending data to external services.

Core Features & Use Cases

  • Local transcription on Windows using whisper-cli with optional Intel OpenVINO acceleration for GPU/NPU support.
  • Supports microphone capture and transcription from audio files, with multilingual and VAD options.
  • Use Case: Privacy-conscious note-taking, meeting minutes, and voice-command driven automation on Windows.

Quick Start

Run win-whisper to record audio from a microphone and generate a local transcript.

Frequently Asked Questions about win-whisper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe speech to text locally on Windows without an internet connection?

Transcribe speech to text locally on Windows by running Whisper models via whisper-cli binaries, processing data entirely on your machine without sending it to external services for offline operation.

Does local transcription with Whisper support GPU or NPU acceleration on Windows?

Local transcription with Whisper supports GPU and NPU acceleration on Windows through optional Intel OpenVINO integration, enhancing processing speed for speech-to-text tasks.

Can I use Whisper for multilingual transcription of audio files on Windows?

Whisper supports multilingual transcription of audio files on Windows, capturing microphone input or processing existing files with Voice Activity Detection (VAD) options.

What do I need to set up offline speech-to-text with Whisper on Windows?

Setting up offline speech-to-text with Whisper on Windows requires whisper-cli binaries and locally downloaded models installed on your system before recording audio or generating transcripts.

Is local speech-to-text better for privacy-conscious meeting minutes than cloud transcription?

Local speech-to-text is better for privacy-conscious meeting minutes than cloud transcription because it transcribes speech locally using Whisper models without sending audio data to external services.

Why does offline transcription with Whisper require locally downloaded models?

Offline transcription with Whisper requires locally downloaded models and whisper-cli binaries because it processes speech-to-text entirely on your Windows machine without connecting to external services for data or processing.