openai-whisper-api

To transcribe audio to text, you run a Bash script that uses curl to upload your audio files to the OpenAI Whisper API and saves the resulting transcript. This approach quickly converts meeting recordings, podcasts, and voice notes into searchable text.

Yes, you can specify the language and adjust the output format when transcribing audio files via curl. The script supports flexible options including selecting the whisper-1 model to ensure your audio-to-text conversion meets specific formatting requirements.

Yes, you need an OpenAI API key to transcribe meeting recordings with curl. The script relies on the OPENAI_API_KEY environment variable to authenticate your requests to the Whisper API before uploading your audio files for transcription.

The best way to convert podcasts into searchable text for summaries is using a command-line script that uploads audio via curl to the Whisper API. This method reliably automates transcription, allowing you to easily index and analyze spoken content.

Yes, the OpenAI Whisper API supports transcription for voice notes on a local machine. By executing the Bash script with your local audio file path, the curl command handles the upload and returns the text output directly to your system.