O
openai-whisper
by @steipetev
4.8(21)
Uses Whisper CLI for local speech-to-text, enabling offline speech recognition without API keys.
Installation
npx skills add steipete/clawdis --skill openai-whispercompare_arrows
Before / After Comparison
1 组Before
Relying on online APIs for speech-to-text introduces issues such as network latency, privacy concerns, and costs.
After
Using local Whisper CLI for speech-to-text eliminates the need for API keys, offering security and high efficiency.
description SKILL.md
name: openai-whisper description: Local speech-to-text with the Whisper CLI (no API key). homepage: https://openai.com/research/whisper metadata: { "openclaw": { "emoji": "🎤", "requires": { "bins": ["whisper"] }, "install": [ { "id": "brew", "kind": "brew", "formula": "openai-whisper", "bins": ["whisper"], "label": "Install OpenAI Whisper (brew)", }, ], }, }
Whisper (CLI)
Use whisper to transcribe audio locally.
Quick start
whisper /path/audio.mp3 --model medium --output_format txt --output_dir .whisper /path/audio.m4a --task translate --output_format srt
Notes
- Models download to
~/.cache/whisperon first run. --modeldefaults toturboon this install.- Use smaller models for speed, larger for accuracy.
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Installs646
Rating4.8 / 5.0
Version
Updated2026年3月16日
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Compatible Platforms
🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI
Timeline
Created2026年3月16日
Last Updated2026年3月16日