openai-whisper-api

You can transcribe audio to text by running the provided script with your audio file path and an OPENAI_API_KEY. The script sends the file to the Whisper API and returns a searchable transcript for podcasts, meetings, or lectures.

Yes, the transcription output can be formatted as plain text or JSON. This allows direct integration into downstream processing workflows where structured data is needed for searching or archiving meeting and podcast transcripts.

Yes, curl is required as a dependency to execute the transcription script. You also need an active OPENAI_API_KEY to authenticate the audio-to-text requests and support configurable model selection.

Automating meeting transcription is best done by routing audio files through the OpenAI Whisper API using a script. This removes manual note-taking and generates accurate transcripts suitable for accessibility workflows and searchable archives.

Yes, the script supports configurable model selection and optional language parameters for audio-to-text conversion. This allows you to tailor the Whisper API transcription process to specific media files and contextual requirements.