01. The Problem
The global translation industry has a hidden technical debt: Layout Entropy.
Standard OCR tools (AWS Textract, Tesseract) treat documents as unstructured "bags of words." While they extract text efficiently, they fail to preserve layout topology—breaking tables, merging headers, and displacing stamps.
Sworn translators save 60 minutes on translation but lose 45 minutes per document manually reconstructing formatting in Microsoft Word.
The Solution: I architected Verto, a proprietary reconstruction engine. It does not just "read" text; it rebuilds the document's DOM with high structural fidelity in native Google Docs.
02. Architecture
The system is designed as an event-driven, stateful reconstruction pipeline. It prioritizes Durable Execution over simple request/response cycles.