ocr-and-documents

To extract text from scanned PDFs and images, this Skill applies OCR pipelines and document parsing to convert them into searchable text, Markdown, or structured metadata. It handles both native text PDFs and image-based scans.

The best way to convert complex PDFs into Markdown is using marker-pdf for high-quality OCR and layout analysis. This approach preserves document structure, handling research papers and reports effectively during extraction.

Marker-pdf supports optional GPU and CPU-accelerated OCR pipelines for document extraction. While GPU acceleration improves processing speed for large documents, CPU mode remains available for standard environments.

Yes, you can batch process invoices and reports for text extraction. The Skill includes optional batch processing capabilities to automatically extract text and convert multiple documents into searchable content.

You should use pymupdf for lightweight, fast text extraction from native text PDFs, whereas marker-pdf is better suited for complex documents and scanned PDFs requiring high-quality OCR and layout analysis.