pdf

To extract text and tables from a PDF, you can use Python libraries like pdfplumber and pypdf. For scanned PDFs requiring OCR, optional OCR tooling processes the document images to retrieve text data from visual layouts.

The best way to merge, split, and rotate PDFs is using the pypdf library in Python. You can read multiple documents, iterate through pages, apply rotations like 90 degrees, and write the combined or modified pages into a new output file.

Yes, you can fill both fillable and non-fillable PDF forms automatically using Python. This Skill handles form automation by leveraging pypdf and pdfplumber to populate document fields across large administrative datasets.

Yes, this PDF processing approach supports adding watermarks and creating new documents. You can manipulate existing pages or generate new PDFs entirely, enabling automated document preparation, archiving, and report generation workflows.

You need OCR tooling to extract text from scanned PDF documents when standard text extraction fails. While pypdf and pdfplumber handle digital text, OCR processes image-based scanned pages using dependencies like pdf2image and Pillow.

You use pdfplumber alongside pypdf for PDF data extraction because pdfplumber specializes in parsing complex table structures and layouts, whereas pypdf efficiently handles basic text extraction and page manipulation like merging and rotation.