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AI Automation

Word → webpage publishing pipeline

Auto-generated 77 web pages directly from content documents, cutting publishing time by 90% for a content-heavy operation.

Problem

Editorial team was hand-translating Word documents into web pages — slow, error-prone, and a constant bottleneck before any campaign launch.

Approach

Built a parser that ingested the Word source, mapped its structure to a strict template, and emitted production-ready HTML with consistent metadata and styling.

Outcome

77 pages generated in a fraction of the previous time. The editorial team kept ownership of the content; the pipeline owned the translation layer.

Impact

  • 77Pages auto-generated
  • −90%Publishing-time reduction

Tech stack

Python
Docx parsing
HTML/CSS generation

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