Transcribe Audio with Parakeet MLX

**Judgement:** Solid local ASR skill for Apple Silicon users who value privacy and offline operation, but restricted to that hardware and a CLI-driven workflow. **What it does well** - Provides end-to-end local speech-to-text using an Apple Silicon–optimized Parakeet MLX model. - No API keys or external services; suitable for sensitive or offline data. - Supports multiple audio inputs, batch processing (e.g., `*.mp3`), and rich output formats (txt, srt, vtt, json, or all). - Extras like word highlighting and verbose confidence scores make it useful for more advanced workflows. **Key limitations / risks** - **Platform-limited:** Only practical on Apple Silicon Macs with `ffmpeg` and the `uv`-installed CLI; not a generic cross-platform ASR solution. - **Model quality constraints:** A 0.6B model may underperform larger state-of-the-art models on difficult audio (heavy accents, noise, overlapping speech), so transcription accuracy may vary. - **External model hosting:** Initial model download from Hugging Face is required; availability or changes there could affect reliability. - **CLI complexity:** Requires comfort with command-line usage and environment setup; less friendly for non-technical users. **Recommended scenarios** - Apple Silicon developers or power users automating **local transcription** pipelines for meetings, podcasts, videos, or archives. - Privacy-sensitive or regulated environments where audio **must not leave the device**. - Workflows that benefit from **subtitle formats (srt/vtt)** and/or **JSON with confidence scores** for downstream processing or quality checks. - Batch/offline processing of large audio collections on a Mac where network-dependent ASR is undesirable.