ocr-and-documents

To extract text from a scanned PDF, you can use OCR tools like marker-pdf to recognize text in multiple languages. This process parses scanned documents and images to convert them into accessible, editable text.

Yes, you can extract text from a PDF hosted at a remote URL. The extraction process uses web_extract to fetch remote documents and parse the text content directly from the online source.

The best way to parse tables and equations from PDFs is by using document parsing libraries like marker-pdf. These tools perform structured data extraction to accurately capture complex elements alongside standard text.

Yes, this text extraction approach works for local text-based PDFs. It utilizes pymupdf to parse local files, efficiently extracting native text without requiring optical character recognition.

Yes, you need web_extract for remote URLs and pymupdf for local text-based PDFs. These dependencies are required alongside marker-pdf to execute text extraction and handle different document formats properly.

OCR for scanned documents may struggle with low image quality or complex layouts. While marker-pdf supports multiple languages and structured data parsing, extraction accuracy heavily depends on the clarity of the original scanned document.