openai-whisper

The openai-whisper skill provides a local speech-to-text solution using the Whisper CLI, which allows users to transcribe audio files without requiring an API key. Whisper enables users to convert various audio formats into text, making it ideal for applications that need offline transcription capabilities. The tool works by transcribing audio files locally, ensuring that no external API calls or network access are needed. This feature is particularly useful for users who have privacy concerns or require transcription services in environments with limited or no internet access.

Main features of this skill include the ability to transcribe audio files in multiple formats (e.g., MP3, M4A) using various Whisper models. The models are available in different sizes, allowing users to balance speed and accuracy based on their specific needs. The transcription can be outputted in formats like text or subtitle files (e.g., .txt, .srt), and additional tasks such as translation are supported. The skill automatically downloads necessary models upon the first use and supports installing the Whisper CLI via Homebrew on macOS systems, simplifying setup.

This skill is ideal for developers, content creators, and researchers who need to transcribe large volumes of audio locally without relying on cloud-based services. It can be especially useful for transcribing podcasts, lectures, meetings, and any other audio recordings where offline transcription is preferred or required. Users can tailor the transcription process by adjusting model parameters, such as the task type or model size, to meet specific project needs.