Pdf

To extract text and tables from a PDF, you can use document processing libraries like pdfplumber. This approach parses the structural elements of the document to accurately pull structured table data and raw text.

Yes, you can fill out PDF forms programmatically whether they are fillable or non-fillable. The process uses pypdf for fillable fields and annotation-based filling for non-fillable forms.

The best way to extract text from scanned PDFs using OCR is converting pages to images with pdf2image and applying pytesseract. This process recognizes text in scanned images and outputs editable text data.

You can merge and split PDF documents in an automated workflow using pypdf and qpdf. These tools manipulate document structures to combine multiple files or separate pages into finalized outputs.

Yes, this PDF manipulation approach supports batch processing scanned application forms. It handles extracting applicant details, applying OCR, and populating a database for large volumes of documents.

PDF table extraction returns misaligned data when documents have complex or non-standard formatting structures. Using pdfplumber helps parse structural lines and text coordinates to improve table accuracy.