Does it handle scanned PDFs?

Yes, if Tesseract OCR is installed on your system, the underlying Docling engine can process scanned documents for high-quality text extraction.

How does this differ from standard PDF reading?

Standard methods often lose formatting or mangle tables; this skill uses specialized AI models to preserve document structure, tables, and visual elements for better LLM comprehension.

Where are the extracted images stored?

Images are saved in a folder named 'images/' located in the same directory as the generated Markdown file, allowing for easy reference and viewing.

Is the conversion process slow?

The initial conversion takes about 1 second per page due to deep AI processing, but subsequent requests for the same file are instant thanks to aggressive content-based caching.

Can it handle complex tables?

Yes, it utilizes IBM's TableFormer model, which is specifically designed to handle complex, borderless, or non-standard table layouts with high accuracy.

PDF to Markdown Converter

Name: PDF to Markdown Converter
Author: aliceisjustplaying

byaliceisjustplaying

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网络抓取与数据收集

Converts complex PDF documents into clean, structured Markdown while preserving tables, formatting, and images for AI context.

关于

The PDF to Markdown skill enables Claude to ingest entire PDF documents with high fidelity by converting them into structured Markdown. Utilizing IBM's Docling AI and TableFormer models, it accurately extracts multi-column layouts, complex tables, and formatted text. Unlike simple text scrapers, this skill preserves document hierarchy and extracts images into a dedicated directory, allowing Claude to analyze charts, diagrams, and figures through integrated image references and intelligent auto-viewing capabilities.

主要功能

1 GitHub stars
Preserves formatting, headers, lists, and multi-column layouts
Aggressive content-based caching for instant subsequent loads
Automatic image extraction with relative path referencing
Smart auto-viewing of visual elements like charts and diagrams
High-accuracy table extraction using TableFormer AI models

使用场景

Analyzing long research papers or technical manuals in their entirety
Loading high-context documents into Claude's memory for detailed discussion
Extracting complex financial or data tables from PDF reports into Markdown

关于

主要功能

1 GitHub stars
Preserves formatting, headers, lists, and multi-column layouts
Aggressive content-based caching for instant subsequent loads
Automatic image extraction with relative path referencing
Smart auto-viewing of visual elements like charts and diagrams
High-accuracy table extraction using TableFormer AI models

使用场景

Analyzing long research papers or technical manuals in their entirety
Loading high-context documents into Claude's memory for detailed discussion
Extracting complex financial or data tables from PDF reports into Markdown