openai-whisper-api

Transcribe audio files into text by sending them to OpenAI's Audio Transcriptions API via multipart upload parameters. The API processes the audio and returns a saved transcript, supporting one-off or batch workflows for interviews, meetings, and lectures.

Yes, an OpenAI API key is required to authenticate requests to the Audio Transcriptions API. You also need curl installed to execute the multipart upload commands that send audio files for speech-to-text processing.

Yes, batch transcription of multiple audio recordings is supported. You can transcribe interviews, meetings, lectures, and voice notes by sequentially sending files to the OpenAI API and saving each returned transcript.

The OpenAI Audio Transcriptions API supports configurable output formats including JSON and plain text. You can specify the transcription model, provide a language hint, and pass prompt context to guide the speech-to-text conversion.

Curl handles speech-to-text transcription by sending multipart upload requests to the OpenAI API. This method packages the audio file alongside parameters for model, language, prompt, and JSON output format for processing.

Automate audio transcription for voice notes by integrating curl commands with the OpenAI API. This command-line workflow sends spoken recordings directly to the Whisper model and returns searchable text records for archives or downstream processing.