openai-whisper-api

Transcribe audio to text by running the transcribe.sh script with your audio file, which sends a curl request to the OpenAI Whisper /v1/audio/transcriptions endpoint to return searchable text.

Yes, speech-to-text transcription via curl requires an OPENAI_API_KEY environment variable set, alongside the curl command-line tool, to authenticate requests to the OpenAI /v1/audio/transcriptions endpoint.

You can convert various audio files, such as recordings of podcasts, meetings, and lectures, to text by passing the file to the transcribe.sh script for processing through the OpenAI Whisper API.

Automate podcast transcription by executing the provided curl-based transcribe.sh script with your podcast audio file, sending it to OpenAI's Whisper API to generate searchable text records for indexing and analysis.

Using curl for OpenAI speech-to-text transcription provides a lightweight, scriptable workflow without requiring heavy programming language dependencies, making it easy to convert audio files to text directly from the command line.

Yes, you can use the curl transcription script for meeting recordings and lecture notes; the Whisper API processes these audio inputs to produce searchable text for indexing, captioning, and accessibility analysis.