ocr-and-documents

To extract text from a scanned PDF, use the marker-pdf OCR path to convert document images into searchable Markdown or plain text while preserving layout and tables. This method supports multi-language extraction for archival research workflows.

The best way to extract text from a local text-based PDF is using the lightweight pymupdf path, which delivers fast results. It processes local files directly to output searchable Markdown or plain text without requiring OCR.

Yes, you can extract text from online PDFs by providing a remote URL. The skill processes online files via the web_extract functionality, converting remote documents into searchable and editable content for analysis.

Yes, marker-pdf preserves document layout and tables during OCR extraction. It processes scanned documents to maintain structural formatting, converting them into searchable Markdown or plain text suitable for admin and knowledge-work workflows.

Yes, the skill requires and validates the use of pymupdf and marker-pdf libraries for text extraction. Pymupdf handles text-based PDFs while marker-pdf provides OCR capabilities for scanned documents.

You can convert PDFs into searchable Markdown or plain text formats. While DOCX and PPTX handling is supported through recommended complementary skills, the core extraction outputs Markdown or plain text for editable content.