openai-whisper-api

To transcribe audio to text using OpenAI Whisper, run the provided script on your audio file to send a request to the Whisper API endpoint via curl. This converts meetings and podcasts into searchable transcripts.

Yes, you need an OPENAI_API_KEY to authenticate your requests when transcribing audio with curl. You also need curl installed, and optionally an OPENAI_BASE_URL to route requests through a proxy.

Yes, you can customize audio transcription by configuring language and prompt options within the curl-based workflow. This allows you to tailor the transcription process for specific audio contexts.

The best way to convert podcasts into searchable transcripts is using a curl-based endpoint to the OpenAI Whisper API. This approach transcribes recordings efficiently, enabling summaries and indexing.

Yes, Whisper transcription works through a local gateway or proxy by setting the optional OPENAI_BASE_URL. This routes your curl audio transcription requests through the specified network endpoint.

Using curl for audio transcription provides a lightweight, scriptable method to send audio files to the OpenAI Whisper API without heavy dependencies. It directly processes recordings into text for accessibility.