openai-whisper-api

You can transcribe audio files to text using the OpenAI Whisper API by running a local script that sends your audio to the API endpoint and writes the transcript to disk. It supports per-file or batch transcription with configurable language and model options.

Yes, batch transcribing audio requires the OPENAI_API_KEY environment variable. The script uses this key to authenticate requests to the OpenAI Whisper API endpoint for processing multiple audio files.

Yes, you can use curl to automate audio transcription because the implementation depends on curl to call the OpenAI Whisper API endpoint. This allows script-based workflow automation for converting voice data into searchable transcripts.

Transcribing audio with Whisper supports plain text or JSON output formats suitable for downstream processing. You can configure the output format alongside language and model options when running the transcription script.

The best way to convert meeting recordings into text for analysis is using a script-based workflow that calls the OpenAI Whisper API. This enables quick conversion of voice data into searchable transcripts for minutes, search, and analysis.

Script-based audio transcription handles per-file and batch processing by iterating through audio files, calling the OpenAI Whisper API endpoint for each, and writing the resulting plain text or JSON transcripts directly to disk.