ocr-and-documents

This skill automates text extraction from scanned PDFs and images using OCR, preserving document layout for tables and images, and outputs searchable markdown or plain text for research and administrative workflows.

Yes, you can extract text from scanned invoices for indexing and archiving. The skill automates OCR-based text capture from diverse formats, preserving structural layout to enable reliable field extraction and searchable text conversion.

Yes, this OCR tool preserves tables and images during PDF text extraction. It uses layout-aware parsing through marker-pdf and pymupdf backends to maintain structural integrity when converting documents into markdown or text outputs.

The best way to convert PDFs into searchable text locally is using this skill's pymupdf and marker-pdf backends. It applies OCR to scanned documents and images, ensuring reliable text capture without requiring external cloud processing.

You do not need to manually configure pymupdf or marker-pdf to extract text from scanned documents. The skill handles these dependencies internally to automate OCR, table handling, and image layout preservation for your text outputs.

OCR text extraction can struggle with complex document layouts if the parsing backend lacks layout-aware capabilities. This skill mitigates that by using marker-pdf and pymupdf4llm to preserve tables, images, and structural formatting during markdown conversion.