Developer builds open-source HTML-to-DOCX converter using AI self-improvement loops

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A developer frustrated with slow, error-prone backend Word document generation built a new open-source library called dom-docx to improve HTML-to-DOCX conversion fidelity. The project used 'Autoresearch loops,' an AI-driven technique where an agent autonomously iterates and self-improves against an objective scoring metric. The scoring system evaluated each conversion across 37 real-world HTML test cases, weighing visual layout fidelity at 50%, document editability at 35%, and compile speed at 15%. Benchmarked against established npm HTML-to-DOCX libraries, dom-docx achieved average layout-fidelity scores in the mid-90s percent compared to the mid-60s percent for competing tools. The library also produced schema-valid OOXML across all 37 test cases, with the largest performance gains seen in complex elements like nested lists, table backgrounds, and flex layouts.

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