openai-whisper-api

To transcribe audio to text using OpenAI Whisper, run the provided transcribe script on your audio file. This sends the file to OpenAI's Whisper endpoint, converting speech to text for podcasts and meeting recordings.

Batch transcribe meeting recordings by applying the transcription script to multiple audio files. The workflow supports single-file or batch processing for media assets where reliable speech-to-text conversion is needed.

You need an OpenAI API key to convert audio files into text. The OPENAI_API_KEY environment variable must be set, and a local curl binary must be available for the script to send requests to the transcription endpoint.

The speech-to-text transcription script supports JSON output. It also allows optional parameters for model selection, language hints, and custom prompts to tailor the transcription results for varied media workflows.

The best way to transcribe podcasts for text indexing is using a CLI script that sends audio to the OpenAI Whisper API. This automates speech-to-text conversion, producing searchable transcripts without manual transcription work.

A limitation of using curl for audio transcription is that the audio file must be directly accessible to the script. Transcription accuracy also depends on the OpenAI Whisper model and the audio quality of the input file.