Transcribe and translate local audio files using the Whisper CLI.
npx skills add https://github.com/hummbl-dev/hummbl-agent --skill openai-whisper-hummbl-dev
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/hummbl-dev/hummbl-agent/tree/main/skills/openai-whisper Command: npx skills add https://github.com/hummbl-dev/hummbl-agent --skill openai-whisper-hummbl-dev
This Skill allows you to transcribe audio files into text directly on your local machine without needing an API key or internet connection.
Use whisper to transcribe the audio file located at /path/to/audio.mp3 and save the output as a text file.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI to process audio files into text without requiring an API key or internet connection. It is ideal for transcribing meeting recordings and voice notes.
Yes, local audio translation into English is supported. You can use the Whisper CLI to translate audio files from various languages into English directly on your machine, which is useful for content generation and accessibility.
Yes, local speech-to-text transcription requires the 'whisper' binary to be installed and available in your system's PATH. No other external API keys or internet connections are needed to run the transcription process.
The best way to process voice notes for easy searching and editing is through local speech-to-text transcription. By using the Whisper CLI, you can quickly transcribe audio file recordings into text format for data archival and content generation.
Local transcription works effectively for processing audio files for accessibility and data archival. The Whisper CLI enables direct speech-to-text conversion on your machine, ensuring your audio content is transformed into searchable text format.
steipeteTranscribe local audio files to text or subtitles using the Whisper CLI.
twjarviszyra-webTranscribe spoken audio into text with timestamps and optional English translation.
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