The app was inspired by the creator’s wife, a YouTube music theory educator, and aims to generate polished written documents from video transcripts for Patreon supporters. Utilizing FastAPI and SQLmodel, the backend efficiently processes video transcripts while using OpenAI’s and Anthropic’s LLM APIs to enhance accuracy. The article delves into database optimization using SQLite and quality control measures, including automated scoring of generated documents. By combining LLM generation with manual processing, the app ensures high-quality results and even creates interactive quizzes. Future updates may integrate newer, cost-effective LLM models to further enhance output quality.
https://youtubetranscriptoptimizer.com/blog/02_what_i_learned_making_the_python_backend_for_yto