Transcribe audio files to text using the OpenAI Whisper API.
npx skills add https://github.com/kolbick/Kolb-Bot --skill openai-whisper-api-kolbick
Please help me install this Agent Skill. Skill: openai-whisper-api Source: https://github.com/kolbick/Kolb-Bot/tree/main/skills/openai-whisper-api Command: npx skills add https://github.com/kolbick/Kolb-Bot --skill openai-whisper-api-kolbick
This Skill automates the transcription of audio files into text, making spoken content accessible and searchable.
Use the openai-whisper-api skill to transcribe the audio file '/path/to/audio.m4a'.
High-intent search queries and answers about installing and using this skill.
To transcribe audio files to text, the Skill sends audio data to the OpenAI Audio Transcriptions API using the Whisper model. It supports various audio formats and returns written text for easy review.
Yes, an OPENAI_API_KEY environment variable is required for authentication to transcribe audio with Whisper. The Skill relies on this key to authorize API requests via curl.
You can customize speech-to-text transcription by specifying the model, output file path, language, and providing a prompt. This improves accuracy across various supported audio formats.
Automating meeting transcription involves passing voice recordings to the OpenAI Whisper API. This converts spoken meeting content into searchable text documents for editing and analysis.
Yes, curl is required to process audio files. The Skill uses curl as its dependency to handle the API requests for converting spoken audio into written text.
Providing a transcription prompt when converting audio to text helps the Whisper model understand context, improving accuracy for specific terminology or accents in your audio files.
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