pdf

Text and table extraction from PDFs uses libraries like pdfplumber and pypdf to parse document content into structured data. These tools read PDF files and transform unstructured layout into text strings and tabular formats you can process, validate, or export to spreadsheets.

Yes, pypdf and reportlab enable programmatic form filling for both fillable and non-fillable PDFs. You can populate form fields with data, set field values, and generate completed documents at scale without manual data entry.

Scanned PDFs require OCR processing. Pytesseract combined with pdf2image converts PDF pages to images, applies optical character recognition to extract text, then returns structured output you can parse and validate.

Pypdf provides page-level operations: merge multiple PDFs into one file, split documents by page range, rotate pages, add watermarks, and apply password protection. These operations process documents at scale without external tools.

Yes, pypdf and pdfplumber extract form field definitions, coordinate transformations, and validation annotations as JSON metadata. This lets you map field locations, understand form structure, and validate data placement programmatically.

Yes, poppler-utils must be installed as a system dependency for image conversion and rendering. Qpdf provides advanced PDF manipulation at the binary level. Python libraries alone cannot handle all operations; system tools extend functionality for OCR and image extraction.