What problem does it solve?
Manually converting complex PDF pages into structured, semantic HTML is a labor-intensive and error-prone process. This Skill automates the recreation of PDF content into high-quality HTML, preserving layout and content integrity, saving significant development time.
Core Features & Use Cases
- Three-Input Context: Leverages a PNG image (visual layout), rich text extraction (accurate content), and ASCII preview (structural blueprint) for comprehensive AI understanding.
- Semantic HTML5 Output: Generates HTML with proper heading tags, paragraphs, lists, and semantic CSS classes for accessibility and maintainability.
- Content Integrity Gate: Includes a mandatory verification step to ensure 99-100% text coverage, preventing AI hallucinations and content loss.
- Use Case: Convert a textbook PDF page into a fully semantic HTML document, preserving layout, text, and hierarchy, ready for web display or further content processing.
Quick Start
Generate semantic HTML for page 16 of the attached PDF, using the provided image, text data, and ASCII preview.