Transcribe audio files locally using the Whisper CLI.
npx skills add https://github.com/chebizarro/swarmstr --skill openai-whisper-chebizarro
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/chebizarro/swarmstr/tree/main/skills/openai-whisper Command: npx skills add https://github.com/chebizarro/swarmstr --skill openai-whisper-chebizarro
This Skill provides a local, privacy-focused solution for converting spoken audio into written text without relying on external APIs or sending data to the cloud.
Use whisper to transcribe the audio file located at /path/to/audio.mp3, saving the output as a text file.
High-intent search queries and answers about installing and using this skill.
Yes, local speech-to-text transcription works for meetings, interviews, or voice notes by processing audio files directly on your machine. It uses the Whisper CLI to convert spoken audio into written text without relying on external APIs.
To transcribe a confidential meeting recording locally, use the Whisper CLI to process the audio file directly on your machine. This ensures the audio data remains private and is never uploaded to a third-party service.
Yes, you need the whisper executable installed and available in your system's PATH to perform local speech-to-text transcription. The Skill relies on the Whisper CLI to process audio files and generate text output.
Local speech-to-text transcription via the Whisper CLI supports various audio input formats. It processes these files on your machine and can output the transcribed text in different formats depending on your needs.
The primary limitation of using the Whisper CLI for local transcription is the dependency on having the whisper executable pre-installed and configured in your system's PATH, which requires manual environment setup.
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