openai-whisper-api

To transcribe an audio file using the OpenAI Whisper API, run the provided transcribe script with your local audio file path. It sends a multipart upload to the audio transcriptions endpoint and saves a generated text or JSON output.

Yes, converting speech to text with curl requires a valid OPENAI_API_KEY and a reachable OpenAI API endpoint. The script uses these credentials to authenticate the multipart file upload request to the Whisper model.

Yes, you can specify the language and add optional prompt hints for audio transcription. These parameters are sent alongside the model and audio file in the multipart upload to improve speech recognition accuracy.

The transcription process supports common audio file formats like .m4a and .ogg for generating text transcripts. It processes these local audio files through the OpenAI Whisper API to output plain text or JSON.

The best way to automate speech-to-text transcription for meetings is running a script that sends local audio recordings to the OpenAI Whisper API. This automatically converts the spoken audio into readable text or JSON output.

Your curl audio transcription returns a plain text file instead of JSON based on the selected output configuration. The script can save the Whisper API response as either standard text or structured JSON output.