pdf

You can extract text and tables from scanned PDFs by using pdfplumber for layout-preserving parsing and pdf2image with Pillow to run OCR. This approach detects structured line items and handles both born-digital and scanned documents accurately.

Automating PDF form filling is supported by detecting fillable fields and extracting field metadata. For non-fillable forms, coordinate conversion helpers and bounding box validation place annotations accurately to populate standardized documents.

Yes, PDF processing works with password-protected files. It supports encrypting and decrypting documents, allowing you to merge, split, rotate pages, and add watermarks while maintaining secure access controls.

The best way to batch extract invoice data into a CSV is to use pypdf and pdfplumber to parse text and tables, running OCR on scanned pages if needed. This yields a merged CSV with detected line items and totals.

You can merge, split, rotate, and watermark PDF documents programmatically using pypdf. This centralizes reliable, repeatable workflows to process documents at scale with fewer manual errors.

Use pdfplumber for layout-preserving text and structured table parsing, while pypdf handles general manipulation like merging, splitting, and encryption. Combining both ensures accurate extraction across born-digital and scanned PDFs.