pdf

Extract text and tables from PDFs using libraries like pdfplumber and pypdf, which parse page content directly. For scanned documents, apply pytesseract with pdf2image to convert pages to images and run OCR, returning structured text suitable for data pipelines and database ingestion.

Yes, fillable PDF forms can be populated programmatically by extracting field names and writing values to form fields. Non-fillable forms can be filled using text annotations. This enables batch processing of form documents without manual data entry.

Use pypdf to merge pages from multiple PDFs into a single document, split large files into smaller chunks, rotate pages, and apply password protection. This approach scales to large collections and integrates seamlessly into automated report generation workflows.

Scanned PDFs contain images rather than selectable text, so OCR is necessary to extract readable content. Pytesseract converts scanned pages to text; combine it with pdf2image to process entire documents automatically.

Yes, reportlab lets you create PDFs from scratch, generate formatted reports, and add text, tables, and graphics. Combine it with data extraction and form-filling workflows to build end-to-end document automation pipelines.

Password-protected PDFs require decryption before text extraction and manipulation are possible. Some encrypted files restrict certain operations; verify permissions before attempting bulk processing to avoid runtime errors in automated workflows.