Automated Technical Documentation Generator from YouTube Video URL: A Multi-Module AI-Powered Web Application
  • Author(s): Alex Franklin M; Ponmozhi K
  • Paper ID: 1715675
  • Page: 2747-2755
  • Published Date: 30-03-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 9 March-2026
Abstract

The rapid proliferation of video-based learning content on platforms such as YouTube has created significant challenges for students, developers, and professionals who need to extract, retain, and reference technical knowledge from long-form instructional videos. Manual documentation is costly, existing summarization tools lose technical fidelity, and no current system addresses the full pipeline from a raw video URL to formatted, downloadable documentation. This paper presents an Automated Technical Documentation Generator, a nine-module AI-powered web application that accepts any YouTube URL and produces structured professional documentation in under 90 seconds. The system comprises modules for transcript extraction with automatic chunking, AI-based content type classification, LLM-driven chunk-and-merge documentation generation, a multi-turn Q&A chatbot, multi-format export in PDF, DOCX, and HTML, a usage history and analytics dashboard, a goal-driven Video Recommender, and a Cognitive Load Analyzer grounded in Sweller's Cognitive Load Theory. An automatic fallback router ensures near-100% availability across eight free LLM providers. Results on twenty test videos across five content types show transcript coverage exceeding 93% and strong alignment between Cognitive Load scores and independent educator assessments.

Keywords

Automated Documentation, Large Language Models, YouTube Transcript Processing, Cognitive Load Theory, Natural Language Processing, AI-Powered Education Tools, Knowledge Gap Detection, Video Content Analysis, Streamlit, LLM Fallback Routing.

Citations

IRE Journals:
Alex Franklin M, Ponmozhi K "Automated Technical Documentation Generator from YouTube Video URL: A Multi-Module AI-Powered Web Application" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 2747-2755 https://doi.org/10.64388/IREV9I9-1715675

IEEE:
Alex Franklin M, Ponmozhi K "Automated Technical Documentation Generator from YouTube Video URL: A Multi-Module AI-Powered Web Application" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715675