ocr-and-documents

To extract text from scanned PDFs, this solution uses marker-pdf for OCR-enabled documents, converting the scanned content into markdown format for quick reuse. It handles scanned documents by applying local extractors to transform images into text.

Yes, you can use pymupdf for text extraction from text-based PDFs. It serves as the local extractor for standard PDFs, while marker-pdf handles OCR for scanned documents, ensuring accurate text extraction across different document types.

The best way to batch process large document collections is using this automated text extraction workflow, which outputs markdown with optional images and tables extraction, making the results ready for indexing and cross-file search.

Yes, this OCR and document processing approach supports remote URLs by using web_extract as the preferred option to convert remote PDFs to markdown, allowing direct extraction from web links without local downloads.

You can convert PDFs to markdown for archival digitization by applying pymupdf for text-based files and marker-pdf for scanned documents, outputting markdown with optional images and tables extraction for fast content indexing.

You should not use pymupdf alone for document text extraction when dealing with scanned documents or images, as it handles text-based PDFs; instead, marker-pdf is required for OCR-enabled documents to ensure accurate text capture.