openai-whisper-api

To transcribe audio files using the OpenAI Whisper API, this Skill sends a request to the /v1/audio/transcriptions endpoint via curl, requiring your OPENAI_API_KEY to convert speech to text.

Yes, you can specify the language and model for speech-to-text transcription by passing optional flags in the curl command, allowing you to tailor the transcription results to your audio.

Yes, you need an OPENAI_API_KEY to transcribe meeting recordings, as the script directly calls the OpenAI Whisper API endpoint to process the audio files and generate editable transcripts.

Automating speech-to-text conversion for podcasts is best handled by running a curl-based script against the Whisper API, which quickly converts spoken audio into searchable text for indexing.

Yes, the Whisper API transcription supports an optional prompt parameter, enabling you to provide context or specific vocabulary to guide the speech-to-text conversion process via curl.

Using curl for automated transcription provides a lightweight, scriptable method to directly interact with the OpenAI Whisper API endpoint, ensuring quick conversion of speech to text without heavy dependencies.