openai-whisper-api

You can transcribe audio to text by sending a request to the OpenAI Whisper API /v1/audio/transcriptions endpoint with your audio file and OPENAI_API_KEY. This script uses curl to convert recordings like interviews or podcasts into searchable text transcripts.

Yes, you can use curl to transcribe audio files with Whisper by sending a POST request to the /v1/audio/transcriptions endpoint. The script requires the curl dependency and an OPENAI_API_KEY for authentication to process the audio input.

The OpenAI transcription API supports optional language, model, and output format parameters sent via curl. You configure these parameters in your request to the /v1/audio/transcriptions endpoint to control how your audio recordings are converted into text.

Yes, you need an OPENAI_API_KEY to authenticate your requests when converting audio recordings into searchable transcripts. The script uses this key to access the OpenAI Whisper API and process your local audio files via curl.

The best way to transcribe lectures or podcasts locally is using a script-based curl workflow that calls the OpenAI Whisper API. This approach processes your audio files through the /v1/audio/transcriptions endpoint to generate searchable text transcripts.

Yes, the Whisper API transcription script supports configurable model and language options. When you run the curl command against the /v1/audio/transcriptions endpoint, you can specify these parameters to tailor the audio transcription output to your needs.