pdf-to-markdown

You can convert PDF to Markdown with tables and images by using a tool that applies IBM Docling's TableFormer model. This approach extracts full document text, structures tables natively, and saves embedded images to a persistent cache for reference.

Full-context Markdown extraction converts entire PDFs into structured text, preserving headers, lists, tables, and images. This ensures complete document structure is loaded into context, preventing information loss during long-form analysis or summarization.

Yes, converting PDF to Markdown with Docling requires a persistent cache. This cache preserves extracted images and structural outputs across sessions, ensuring that embedded content and document formatting remain available for later reference.

Yes, extracting tables from a PDF into Markdown without losing formatting is possible. By utilizing IBM Docling's TableFormer AI model, the conversion process accurately captures table structures and outputs them as native Markdown tables.

To run a full PDF to Markdown conversion from the command line, execute the conversion script with your target PDF file. This generates a Markdown file alongside extracted images, making the entire document content available for immediate analysis.

PDF to Markdown conversions lose embedded images and structure when using basic text extraction. Applying a full-context extraction approach with pymupdf and Docling preserves formatting, extracts images to cache, and maintains complete document hierarchy.