Python script that automatically converts audio files to text and outputs them as documents such as meeting minutes.
Uses OpenAI's API to convert to text, integrates them, and saves as final output.
Designed to efficiently process long audio for meeting minutes and interview transcriptions.
Splits audio files every 20MB to manageable size. Automatic splitting to stay under Whisper's 25MB file size limit.
Converts audio to text using OpenAI's Whisper model. Processes split audio files individually for high-accuracy transcription.
Integrates multiple text files and outputs as one file. After integrating generated split text, generates meeting minutes with ChatGPT.
Uses ChatGPT to generate meeting minutes based on conversation content and organize them in readable format. Organized by agenda with clarified action items.
Audio files are split to stay under Whisper's 25MB processing limit, and generated split text is integrated. Specifically designed for efficiently processing long audio such as meeting minutes and interview transcriptions.
High-accuracy speech recognition with OpenAI's Whisper model and context-aware minutes generation with ChatGPT accurately document meeting content in a readable format.
Dramatically reduces time spent on meeting minutes creation, allowing meeting participants to focus on discussion. Also standardizes minutes quality and eliminates oversights of important decisions and action items.
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