ocr-and-documents

To extract text from scanned PDF documents, this Skill uses marker-pdf's OCR capabilities to convert scanned images into editable text. It supports advanced layout analysis and batch processing for administrative workflows requiring text conversion.

Yes, you can extract tables, metadata, and images from PDFs during document parsing. The Skill uses pymupdf and marker-pdf to capture structural elements, enabling comprehensive data extraction beyond plain text.

The best way to batch process scanned receipts is using this Skill's batch processing options. It applies marker-pdf OCR to convert multiple scanned documents into digital text, ideal for record-keeping and spreadsheet creation.

Yes, marker-pdf supports advanced layout analysis for complex PDF text extraction. The Skill utilizes this alongside pymupdf to ensure precise text conversion from PDFs with intricate structural formatting.

Using pymupdf and marker-pdf together provides comprehensive document parsing. pymupdf handles direct text and metadata extraction, while marker-pdf adds OCR capabilities for scanned documents, ensuring precise text conversion across formats.

Yes, you need the pymupdf, pymupdf4llm, and marker-pdf Python libraries installed to convert scanned documents to editable text. These dependencies enable the OCR and advanced parsing features used for text extraction.