Can it handle large PDF files?

Yes, it processes large files by converting pages to images first and allows for selective page-by-page analysis to manage processing time and API costs.

Does it support table extraction?

Yes, it is specifically designed to recognize table structures and convert them into accurate Markdown table formats.

Is it compatible with WSL?

Yes, the skill is optimized for WSL environments, utilizing standard Linux package managers like apt-get for its dependencies.

How does this differ from a standard PDF reader?

Standard readers only extract raw text, whereas PDF Vision Reader analyzes visual elements like charts and diagrams using computer vision to provide context.

What system dependencies are required?

It requires the Python 'pdf2image' and 'Pillow' libraries, as well as the 'poppler-utils' system package for PDF-to-image conversion.

PDF Vision Reader

Name: PDF Vision Reader
Author: childbamboo

bychildbamboo

内容管理

Extracts complex visual data, diagrams, and charts from PDF documents using vision-based analysis to generate structured Markdown.

关于

PDF Vision Reader bridges the gap between static documents and structured data by converting PDF pages into high-resolution images for vision-based processing. Unlike traditional text extractors, this skill excels at interpreting presentation slides, technical drawings, and data-rich infographics, providing comprehensive descriptions of visual elements alongside text. It is particularly useful for developers and researchers who need to digitize visually complex documents into searchable, editable Markdown formats while maintaining context from charts and diagrams that standard OCR might miss.

主要功能

Identifies and describes charts, graphs, and complex diagrams
0 GitHub stars
Preserves document layout and structure in the Markdown output
Supports selective page range analysis for efficient processing
Extracts data from tables and infographics into structured formats
Converts PDF pages to high-resolution PNG images for vision analysis

使用场景

Digitizing marketing brochures and infographics into editable text
Analyzing technical whitepapers with complex charts and figures
Converting presentation slide decks into structured documentation

关于

主要功能

Identifies and describes charts, graphs, and complex diagrams
0 GitHub stars
Preserves document layout and structure in the Markdown output
Supports selective page range analysis for efficient processing
Extracts data from tables and infographics into structured formats
Converts PDF pages to high-resolution PNG images for vision analysis

使用场景

Digitizing marketing brochures and infographics into editable text
Analyzing technical whitepapers with complex charts and figures
Converting presentation slide decks into structured documentation