What problem does it solve?
Manually transcribing audio files is slow, tedious, and prone to human error, especially for long recordings or content with multiple speakers. This Skill automates audio transcription using OpenAI's state-of-the-art speech-to-text models, delivering fast, accurate results without manual effort.
Core Features & Use Cases
- Multi-model support: Choose from the high-accuracy gpt-4o-transcribe, lightweight gpt-4o-mini-transcribe, speaker diarization-enabled gpt-4o-transcribe-diarize, or the classic whisper-1 model to balance speed, cost, and feature needs.
- Flexible output formats: Retrieve transcripts as plain text for easy reading or structured JSON for integration into downstream workflows.
- Real-world use cases: Content creators can transcribe podcast episodes to generate show notes, researchers can convert interview recordings to text for qualitative analysis, and teams can quickly create text records of meeting recordings.
Quick Start
Use the openai-whisper-api skill to transcribe the attached audio file 'team-meeting.m4a' to a plain text transcript saved in the same directory as the original file.
