بنقرة واحدة
whisper-voice
Native macOS menu bar app for live voice-to-text with auto-type using WhisperKit on Apple Silicon
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Native macOS menu bar app for live voice-to-text with auto-type using WhisperKit on Apple Silicon
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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| name | whisper-voice |
| description | Native macOS menu bar app for live voice-to-text with auto-type using WhisperKit on Apple Silicon |
| allowed-tools | ["Bash","Read","Write","Edit"] |
Build and run a native macOS menu bar app that captures live microphone audio, transcribes it offline using WhisperKit (on Apple Silicon), and auto-types the text wherever the cursor is.
| Name | Type | Required | Description |
|---|---|---|---|
| model_size | string | No | Whisper model: tiny, base (default), small |
| language | string | No | "en" (default) or "hi" for Hindi mode |
| chunk_duration | float | No | Seconds per audio chunk (default: 3.0) |
cd YourProject/WhisperApp
swift build
swift run WhisperApp
# Or open in Xcode: open Package.swift → Cmd+R
| Name | Type | Description |
|---|---|---|
| transcribed_text | string | Live transcribed text typed at cursor |
| history | array | Last 50 transcription entries in menu bar |
| Name | Type | Required | Description |
|---|---|---|---|
| model_size | string | No | tiny / base / small |
| language | string | No | en / hi |
| chunk_duration | float | No | 2.0 - 8.0 seconds |
| silence_threshold | float | No | 0.002 - 0.05 |
| Name | Type | Description |
|---|---|---|
| transcription | string | Live text output |
| auto_typed | boolean | Whether text was injected at cursor |
| Name | Source |
|---|---|
| None | Fully offline, no API keys |
video-edit (add transcription captions), send-telegram (send transcriptions to phone)
Free — runs entirely on-device. Model download is one-time (~140MB for base).