Transcribe and translate audio files locally using the Whisper CLI.
npx skills add https://github.com/ApiliumCode/mayros --skill openai-whisper-apiliumcode
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/ApiliumCode/mayros/tree/main/skills/openai-whisper Command: npx skills add https://github.com/ApiliumCode/mayros --skill openai-whisper-apiliumcode
This Skill provides a local, privacy-focused solution for transcribing audio files into text without relying on external APIs or requiring an API key.
Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription as a text file.
High-intent search queries and answers about installing and using this skill.
You can transcribe audio files locally without an API key by using the Whisper CLI to process speech-to-text directly on your machine. This Skill executes the whisper binary to securely convert spoken word recordings into text.
Yes, you need the Whisper binary installed and accessible in your system's PATH to perform local speech-to-text. This Skill acts as a wrapper for the CLI, so the underlying executable must be present in your environment.
Yes, local transcription with the Whisper CLI supports translating audio from supported languages into English. This allows you to securely generate English text content from foreign language voice notes or meeting recordings.
The best way to securely transcribe meeting recordings is using local speech-to-text processing with the Whisper CLI. By running transcription directly on your machine, you keep sensitive audio data private without relying on external APIs.
Local speech-to-text processing supports various audio input formats through the Whisper CLI. You can transcribe files like MP3s directly on your machine by specifying the file path and desired model size in your command.
Choose local transcription for privacy-focused audio processing, as it transcribes speech-to-text directly on your machine without external API calls. This ensures secure handling of sensitive meeting recordings and voice notes.
ybsaTranscribe local audio files to text using the Whisper CLI.
ai-in-pmGenerates summaries from URLs, YouTube videos, and local documents.
cogpyTranscribe audio files locally to text and subtitles using Whisper CLI.
steipeteTranscribe local audio files to text or subtitles using the Whisper CLI.
