Transcribe local audio files into text using OpenAI Whisper CLI.
npx skills add https://github.com/PotLock/foxfang --skill openai-whisper-potlock
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/PotLock/foxfang/tree/main/skills/openai-whisper Command: npx skills add https://github.com/PotLock/foxfang --skill openai-whisper-potlock
Transcribe audio locally into text without relying on external APIs, ensuring privacy and offline operation.
Transcribe an audio file by running Whisper on your machine to generate a text transcript.
High-intent search queries and answers about installing and using this skill.
You can transcribe audio locally by running the Whisper CLI on your machine, which processes common audio formats into text without requiring an API key and keeps all data on your device for privacy.
Offline speech-to-text converts audio to text without an internet connection. You need it for privacy-sensitive data or when working in restricted environments where sending audio to external transcription APIs is not allowed.
No, local Whisper transcription does not require an API key. The process runs entirely on your local machine using a locally installed whisper binary, ensuring your audio data stays on your device.
Yes, local transcription supports caption generation from common audio formats. By running the Whisper CLI offline, you can select different models and languages to generate text transcripts and captions directly on your machine.
Offline transcription with the Whisper CLI requires a locally installed whisper binary and depends entirely on your local machine's processing power. Model selection impacts accuracy and speed, but no external API scaling is available.
bitan-delTranscribe audio files locally using the Whisper CLI.
inho-teamExtract, transcribe, and translate YouTube subtitles via API endpoints.
mangiapanejohn-devTranscribe audio files to text locally using the Whisper CLI.
enclawedTranscribe audio files to text locally using the Whisper CLI.
