pdf

To extract text and tables from PDF documents, this solution uses pdfplumber and pypdf to parse page content and capture structured table data. It processes pages while preserving coordinate geometry for accurate downstream processing and review.

Yes, you can fill non-fillable PDFs by placing annotations with validated coordinates. The workflow calculates precise page geometry to accurately overlay text and form annotations onto documents that lack native interactive form fields.

The best way to automate merging and splitting PDF files is using Python libraries like pypdf to programmatically combine, divide, and rotate documents. This removes manual effort and enables reliable batch processing for repetitive document workflows.

OCR works on scanned PDFs by converting pages into images and extracting text, making previously scanned intake forms fully searchable. This process captures document contents for review or digital storage while preserving the original layout.

To add watermarks to PDF documents programmatically, the Skill applies image overlays and annotations using validated coordinates. This ensures the watermark is accurately positioned on the page without disrupting the existing text or form geometry.

Yes, extracting images from a PDF typically requires Pillow and pdf2image to render and process visual content. These dependencies handle image manipulation and page conversion, enabling accurate extraction of embedded visual assets.