What problem does it solve? Converting audio recordings into text manually is slow and error-prone. This Skill sends audio files to the OpenAI Audio Transcriptions API and returns clean transcripts, including optional speaker labels, without requiring you to write API integration code. ## Core Features & Use Cases - Multiple transcription models: Choose between gpt-4o-transcribe, gpt-4o-mini-transcribe, gpt-4o-transcribe-diarize for speaker labels, or whisper-1. - Flexible output: Write plain text transcripts by default or full JSON responses with segment and speaker data. - Language and prompt hints: Pass a language code or vocabulary prompt to improve recognition of names and domain terms. - Use Case: You recorded a meeting as an m4a file and need a speaker-labeled transcript. Run the script with the diarize model to get a transcript with each line prefixed by the speaker name. ## Quick Start Ask the assistant to transcribe your audio file, for example: transcribe the file meeting.m4a using the openai-whisper-api skill with speaker diarization enabled.