pdf

You can extract data and fill forms automatically by using scripts that check fields, extract coordinates, and validate bounding boxes before populating data. This approach handles both fillable and non-fillable PDFs with annotation-based output.

Merging, splitting, and watermarking PDFs is handled through a unified transformation toolbox that provides sample code for reading text, rotating pages, and adding watermarks without juggling multiple separate libraries.

Yes, you need pypdf, pdfplumber, pdf2image, and pillow to manage both fillable and non-fillable pages. These dependencies are required for reading text, running OCR, and extracting images across administrative and legal workflows.

You can extract invoice metadata and populate checklists from non-fillable PDFs by extracting field coordinates and validating bounding boxes. The workflow produces a consolidated searchable archive without manual data entry.

PDF form filling fails when fields are missing if you do not validate bounding boxes and extract coordinates beforehand. This workflow requires checking fields first to prevent mismatched outputs and missed data population.

Yes, pdf2image works with pillow to convert PDF pages into images for OCR processing. This combination allows you to run OCR tasks and produce searchable archives from scanned administrative and legal documents.