Post
A transcription pipeline, written with the help of GitHub Copilot, runs OpenAI's Whisper on local machines or high-performance computing clusters. Hundreds of hours of sensitive interview audio can be transcribed this way without sending any data to the cloud, and each hour of recording now takes minutes to process.
Post
A production-ready local transcription workflow leveraging OpenAI's Whisper models that addresses the limitations of cloud-based solutions through complete data sovereignty, unlimited scale, reproducible processing and advanced quality control, while maintaining GDPR compliance.
Software Pipeline
A secure, local transcription workflow using OpenAI's Whisper, with batch processing on high-performance computing (HPC) clusters and built-in quality control. Designed for academic and enterprise use, it avoids the privacy and reproducibility limitations of cloud-based services.
Software Web application
Open-source, R-based application that converts video captions from the WebVTT format into plain text, automatically removing timestamps and formatting the content into accessible documents.