ocr-and-documents

To extract text from a scanned PDF, use an OCR pipeline like marker-pdf to perform image-to-text conversion. This approach handles complex layouts and equations, outputting readable Markdown or JSON text from scanned documents.

Converting a PDF to Markdown depends on the source: use pymupdf for lightweight text extraction from text-based PDFs, or use marker-pdf for OCR and complex layouts in scanned documents. You can also use web extraction workflows for URL-based PDFs.

Yes, you can extract tables and LaTeX equations from PDFs using the marker-pdf OCR pipeline. It provides high-quality layout handling specifically designed for complex forms, tables, and equations within scanned and text-based documents.

Yes, the PDF extraction method supports page-level slicing for research workflows like Arxiv paper ingestion. Using pymupdf, you can extract selected pages, split and merge documents, and search text across specific page ranges.

No, you do not need local setup to extract text from an online PDF URL if you use a web-based extraction workflow. This URL-first approach converts PDFs to Markdown remotely, avoiding local dependencies like pymupdf or marker-pdf.