ocr-and-documents

OCR text extraction from scanned PDFs and images works by applying libraries like pymupdf and marker-pdf to recognize characters in image-based documents and convert them into editable text for research and digitization.

Yes, you can extract tables and structured metadata from PDF documents. The document parsing functionality identifies structured information within files, making it suitable for data extraction and research analysis tasks.

Yes, you need to install pymupdf, marker-pdf, and python-docx as dependencies. These libraries provide the core OCR and document parsing capabilities required to extract text from PDFs, scanned documents, and images.

The best way to digitize scanned documents for research is using OCR and document parsing tools to extract text and tables. This approach converts physical or image-based documents into searchable digital text.

Yes, the document parsing approach works with python-docx files. The Skill supports text extraction from various file formats including PDFs, scanned documents, and images using the python-docx library for processing.