Transcribes audio files into text or JSON using OpenAI's Whisper API via simple terminal commands.
The OpenAI Whisper API skill integrates high-accuracy speech-to-text capabilities directly into your development workflow. It enables the automated transcription of various audio formats such as M4A, OGG, and MP3 using the whisper-1 model. This tool is particularly useful for developers who need to process voice data, as it supports custom prompts for context, language specification for improved accuracy, and flexible output options including plain text or structured JSON for further programmatic manipulation.
Key Features
01Structured JSON output for data processing
02Customizable language and context prompts
03Support for multiple audio formats via curl
04High-accuracy audio-to-text transcription
05Lightweight integration using the whisper-1 model
060 GitHub stars
Use Cases
01Generating searchable transcripts for meetings and interviews
02Automating the creation of subtitles and captions for media files
03Converting voice notes into structured data for NLP applications
