openai-whisper-api

You can transcribe audio to text by running the provided curl command to call the OpenAI Whisper API endpoint at /v1/audio/transcriptions. The script processes your local audio file and returns a text transcript using the specified model and output format.

Yes, the transcription script supports batch processing for audio files such as podcasts, lectures, and meetings. It applies the same Whisper API parameters across multiple files to produce searchable transcripts for your audio recordings.

The speech-to-text transcription supports customizable options including model selection, language specification, prompt guidance, and output format. These parameters are passed directly through curl to the Whisper API endpoint.

Yes, an OPENAI_API_KEY is required for authentication to access the OpenAI Whisper API. You must provide this key in your curl request headers to successfully transcribe audio files to text.

Yes, the transcription process supports language selection options. You can specify the target language when calling the Whisper API via curl to improve transcription accuracy for non-English audio recordings.

The best way to generate searchable transcripts is using the Whisper API to convert meeting audio to text. This process enables accessibility enhancements and searchable text output directly from your local audio files.