pdf

PDF text and table extraction is performed using pypdf and pdfplumber to parse document content. These libraries read both embedded text and structured tabular data, converting PDF pages into actionable plain text and table formats for downstream processing workflows.

PDF form filling supports both fillable AcroForm fields and non-fillable flat documents. By leveraging pypdf for interactive fields and pdf2image with Pillow for rendering flat forms, the Skill overlays data onto documents to automate administrative form completion.

PDF merging and splitting is automated through pypdf to handle multi-file operations for document digitization. You can combine multiple PDFs into a single archive or separate pages into individual files, streamlining batch processing and archival workflows.

OCR on scanned PDFs is facilitated by converting document pages into images using pdf2image and Pillow. Once pages are rendered as images, optical character recognition can be applied to extract text from non-digitized or image-based PDF documents.

PDF processing includes page rotation and watermarking capabilities through pypdf. You can modify page orientations and overlay watermark images onto PDF documents, applying these transformations during batch processing or document archival preparation.

PDF processing with pdfplumber and pypdf is limited when handling heavily encrypted documents or complex embedded fonts. While pypdf manages merging, splitting, and forms, pdfplumber focuses on text extraction, and both may require rendering via pdf2image for scanned content.