openai-whisper-api

To transcribe audio files into text using OpenAI Whisper, you provide an input audio file and specify an output path. The skill sends the audio to the OpenAI Audio Transcriptions API and returns the written text.

Yes, converting speech to text requires an active OpenAI API key. You also need the curl command-line tool installed in your environment to execute the transcription request.

Yes, you can specify languages and custom prompts for audio transcription to improve accuracy. You can also select transcription models and output formats like text or JSON.

You can transcribe spoken audio from various formats into written text using the OpenAI Audio API. The skill processes input files like M4A recordings and outputs text or JSON formats.

The best way to automate transcription for meeting recordings is using the OpenAI Whisper API. It converts spoken audio content into searchable and editable text for documentation and analysis.

Specifying a custom prompt when transcribing voice notes improves accuracy by providing context to the Whisper model. This helps the speech-to-text API correctly interpret specific terminology or names.