Transcribe audio files into text using the OpenAI Audio Transcriptions API.
npx skills add https://github.com/cogpy/clawcog --skill openai-whisper-api-cogpy
Please help me install this Agent Skill. Skill: openai-whisper-api Source: https://github.com/cogpy/clawcog/tree/main/skills/openai-whisper-api Command: npx skills add https://github.com/cogpy/clawcog --skill openai-whisper-api-cogpy
This Skill automates the transcription of audio files into text using OpenAI's powerful Whisper API, saving time and effort compared to manual transcription.
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 into text, this Skill sends your audio to the OpenAI Audio Transcriptions API via a cURL utility. It supports formats like M4A and OGG to convert voice recordings into written content.
Yes, an active OPENAI_API_KEY is required for authentication and API access to convert speech to text. You also need the cURL utility installed to execute the transcription requests.
You can use audio formats like M4A and OGG for speech-to-text transcription with OpenAI. The Skill processes these audio files to generate written text from spoken words.
Yes, you can customize the transcription model, specify the output file path, set the language, and provide a prompt for better accuracy when using the OpenAI Audio API. This helps improve transcription quality for specific audio contexts.
The best way to automate transcription of meeting recordings and voice notes is to use the OpenAI Audio Transcriptions API via cURL. This approach quickly converts your audio files into written content for documentation and analysis.
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