openai-whisper-api

To transcribe audio to text, call the OpenAI Whisper API endpoint at /v1/audio/transcriptions using a HTTP client like curl and the whisper-1 model. You need to configure your OPENAI_API_KEY and pass the audio file to receive a plain text or JSON transcript.

Yes, you can use curl to automate speech-to-text transcription by sending POST requests to the OpenAI Whisper API. This allows you to script batch processing of audio files into text transcripts without manual typing or user interface interaction.

Yes, you must configure a valid OPENAI_API_KEY environment variable to authenticate your requests. The speech-to-text script requires this key to access the OpenAI Whisper API endpoint and process your audio files successfully.

Automated podcast transcription is best handled by calling the OpenAI Whisper API via curl within your data pipeline. This approach supports on-demand transcription of meeting recordings and audio files, outputting text transcripts directly into your workflow.

Yes, the OpenAI Whisper API supports model selection with whisper-1 and includes language options for audio transcription. This allows you to specify the spoken language in your request to generate accurate plain text or JSON transcripts.

Requests to the audio transcriptions endpoint fail if the OPENAI_API_KEY is missing or invalid, or if the audio file format is unsupported. Ensure curl is properly configured and the HTTP client authenticates successfully with the OpenAI Whisper API.