openai-whisper-api

Transcribing audio to text from the terminal involves using curl to send audio files to the OpenAI Audio Transcriptions API, which returns plain text or JSON transcripts without requiring a custom API client.

To run speech-to-text workflows with curl, you need the curl command-line tool, an audio file, and an OPENAI_API_KEY environment variable set for authenticating the transcription API requests.

Yes, you can use OpenAI Whisper API with a custom base URL by setting the optional OPENAI_BASE_URL environment variable, allowing you to route transcription requests to OpenAI-compatible endpoints.

To improve transcription accuracy for lecture recordings, you can provide optional language hints and prompt context parameters in your API request to guide the speech-to-text model's recognition.

Yes, this audio transcription method supports flexible output handling, allowing you to write transcripts to a custom path or automatically use a default filename derived from the input audio.