Transcribe audio files into text using OpenAI's Whisper API.
npx skills add https://github.com/nuno7lopes/alisio --skill openai-whisper-api-nuno7lopes
Please help me install this Agent Skill. Skill: openai-whisper-api Source: https://github.com/nuno7lopes/alisio/tree/main/skills/openai-whisper-api Command: npx skills add https://github.com/nuno7lopes/alisio --skill openai-whisper-api-nuno7lopes
This Skill solves the problem of transcribing audio files into text using OpenAI's Whisper API, providing a quick and efficient way to convert spoken words into written form.
Transcribe the audio file 'meeting_recording.m4a' using the 'whisper-1' model and output the result to 'transcript.txt'.
High-intent search queries and answers about installing and using this skill.
You can convert speech to text by providing an audio file and an OpenAI API key. The Skill uses the Whisper API to process the recording and output the transcription in plain text or JSON format.
Yes, an OpenAI API key is required to authenticate your requests. You also need the curl command-line tool installed in your environment to execute the transcription scripts.
Yes, speech to text conversion supports various languages and allows you to add custom prompts. Providing context-specific prompts helps improve the accuracy of the generated text output.
You can transcribe audio files like m4a using the Whisper API. The Skill supports selecting various models, such as whisper-1, to convert spoken audio into written text.
Yes, Whisper API transcription can output results in plain text or JSON format. You can select the desired output format to easily integrate the converted speech data into downstream applications.
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