ocr-and-documents

Use pymupdf to open the PDF and call page.get_text() on each page, or pymupdf4llm for Markdown output. It installs in seconds at about 25MB and handles text-based PDFs, tables, images, and metadata.

pymupdf is lightweight (~25MB) and instant for text-based PDFs, tables, and images. marker-pdf (~3-5GB with PyTorch) adds OCR for scanned documents in 90+ languages, equations, forms, and reading-order detection.

Use marker-pdf, which performs OCR on scanned PDFs across 90+ languages and outputs Markdown. Run marker_single on a file or the provided extract_marker.py helper script; first use downloads about 2.5GB of models.

No, pymupdf cannot OCR scanned documents or images; it only reads existing text layers. For scanned PDFs, equations, or complex layouts, use marker-pdf or a remote URL with web_extract instead.

pymupdf handles split and merge natively with no extra dependencies. Use insert_pdf to copy selected pages into a new document for splitting, or combine multiple source documents into one for merging, then save the result.

marker-pdf requires roughly 5GB for PyTorch and models. If space is insufficient, free up disk, provide a document URL so web_extract can handle conversion remotely, or fall back to pymupdf for text-based PDFs.