ocr-and-documents

To extract text from a scanned PDF, this Skill applies OCR technology to recognize and retrieve text from image-based documents. It leverages marker-pdf and pymupdf to process complex layouts, yielding structured text data ready for analysis.

Yes, you can parse complex layouts including tables, equations, and code blocks from PDFs. The Skill uses advanced document parsing libraries to accurately capture structured data, delivering clean text outputs from intricate document formats.

Extracting data from a remote document URL is fully supported. The Skill processes online documents directly by fetching the content via the link, allowing you to retrieve text and structured data without downloading the file locally first.

The best way to extract structured data from PowerPoint and Word files is by using this Skill's built-in python-pptx and python-docx dependencies. It parses these formats to retrieve text and layout information, providing structured document outputs.

OCR document extraction handles text-based files by directly parsing the embedded text layer using pymupdf. For scanned files, it applies marker-pdf with OCR capabilities to recognize text from images, ensuring accurate extraction across both document types.