# 使用 Homebrew 安装 whisperkit-cli

查看 whisperkit-cli 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install brew:whisperkit-cli
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install whisperkit-cli
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:whisperkit-cli
- **软件包管理器:** Homebrew
- **版本:** 1.0.0
- **来源摘要:** Swift native on-device speech recognition with Whisper for Apple Silicon
- **主页:** <https://github.com/argmaxinc/argmax-oss-swift>
- **仓库:** <https://github.com/argmaxinc/argmax-oss-swift>
- **最后更新:** 2026-05-12T09:42:19+01:00
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- whisperkit-cli (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 1.0.0
## 项目历史与用法

WhisperKit CLI is the command-line face of Argmax's Swift-native on-device speech stack for Apple Silicon. It packages WhisperKit's Core ML-oriented Whisper inference into a tool for local transcription on macOS.

### 项目历史

Argmax announced WhisperKit in beta after founding the company in November 2023, explaining that production demand for Whisper inference motivated its first open-source project. The beta was released under the MIT license and focused on letting Swift developers run Whisper in apps with minimal setup.

The current Argmax Open-Source SDK Swift repository was created on January 26, 2024. Its README now presents WhisperKit as one part of a broader on-device speech SDK, alongside SpeakerKit for diarization and TTSKit for text-to-speech.

WhisperKit's niche is Apple-platform specialization. Instead of being a universal C/C++ runtime like whisper.cpp, it leans into Swift, Core ML, Apple Silicon, and on-device execution for apps and command-line workflows.

### 采用历史

The project grew around the broader shift from cloud-only speech APIs to local transcription for privacy, latency, and cost reasons. The repository reported more than 6,200 stars and more than 570 forks via GitHub's API on July 2, 2026, enough to make it a visible Apple-native Whisper implementation.

Argmax's own materials position WhisperKit as a developer SDK rather than just a demo. The CLI gives package-manager users a direct way to run the same stack from the terminal for transcription tests, batch workflows, and model evaluation.

### 使用方式

Typical CLI use is to install `whisperkit-cli`, inspect transcription options, and run local audio through WhisperKit models. The Hugging Face model page for `argmaxinc/whisperkit-coreml` explicitly points users to installing the CLI with Homebrew and running `whisperkit-cli transcribe --help`.

In the package ecosystem, WhisperKit CLI is most attractive to macOS users who want Apple Silicon acceleration and Swift/Core ML alignment rather than the broad portability of whisper.cpp.

### 为什么软件包爱好者会关心

WhisperKit CLI represents the Apple-native branch of the local Whisper family: same broad speech-recognition lineage as OpenAI Whisper, but packaged for Core ML and on-device Apple hardware.

Its significance is less about being the oldest Whisper command-line tool and more about making the Apple Neural Engine/Core ML path accessible as a normal installable CLI.

### 时间线

- 2023-11: Argmax says it was founded to help deploy commercial-scale inference workloads on user devices.
- 2024-01-26: The current Argmax open-source Swift repository was created.
- 2024: Argmax open-sourced WhisperKit beta under the MIT license.
- 2025: Argmax model documentation pointed to an ICML 2025 WhisperKit paper and presentation.
- 2026-07-02: GitHub API metadata showed the Argmax Swift repository above 6,200 stars.

### Related projects

- OpenAI Whisper supplies the model lineage.
- whisper.cpp is the best-known cross-platform C/C++ Whisper runtime.
- SpeakerKit and TTSKit are sibling packages in the Argmax Open-Source SDK Swift repository.

### 来源

- Argmax Open-Source SDK Swift repository: https://github.com/argmaxinc/argmax-oss-swift
- Argmax WhisperKit announcement: https://www.argmaxinc.com/blog/whisperkit
- Argmax repository GitHub API metadata: https://api.github.com/repos/argmaxinc/argmax-oss-swift
- Homebrew formula page: https://formulae.brew.sh/formula/whisperkit-cli
- WhisperKit Core ML model page: https://huggingface.co/argmaxinc/whisperkit-coreml


## 安全说明

narrow executable package without higher-risk signals.

- **Geiger 风险:** 绿色 / 低
- narrow executable package without higher-risk signals


## Combined YAML source

View the package source record on GitHub. [combined/whisperkit-cli.yml](https://github.com/mxcl/pkgdb/blob/main/combined/whisperkit-cli.yml)


## 来源

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph