pdf

To extract text and tables from a PDF, you can use Python tooling like pdfplumber and pypdf. These libraries read structured data directly from documents, enabling automated text and table extraction for downstream processing workflows.

Yes, you can perform OCR on scanned PDFs using pdf2image and Pillow. This approach converts PDF pages into images, allowing Optical Character Recognition to extract text from scanned administrative and archival documents effectively.

Yes, this PDF automation approach supports filling forms and adding watermarks. Using pypdf, you can programmatically fill interactive form fields, apply watermarks, and merge documents to automate administrative document workflows.

The best way to merge, split, and rotate PDF documents is using Python libraries like pypdf. It provides robust programmatic control to manipulate page orientations and combine or divide documents with validation and error handling.

To handle PDF encryption and decryption safely, use pypdf to apply or remove password protection. Ensure robust automation by including validation and error handling across diverse documents to prevent workflow interruptions.

To extract images from a PDF, you need Python libraries such as pdfplumber and Pillow. These dependencies work together to parse document structures and process embedded images for automated data extraction workflows.