pdf

To extract text and tables from a PDF, the Skill utilizes libraries like pdfplumber and pypdf to parse document content. It processes standard text and structured table data, outputting the extracted information for immediate use in downstream applications.

Yes, you can perform OCR on scanned PDFs to make them searchable. The Skill integrates pytesseract and pdf2image to convert scanned document images into machine-readable text, enabling data extraction from non-native files.

The best way to automate filling out PDF forms is using this Skill to programmatically populate fillable fields. It manipulates document structures directly to streamline form handling and add annotations to non-fillable ones without manual input.

To merge, split, or watermark PDF files, the Skill applies document manipulation operations using libraries such as pypdf and qpdf. It modifies document structures to combine pages, separate files, or overlay watermarks automatically across batches.

Yes, you need poppler-utils installed alongside Python dependencies like pdf2image for rendering and OCR tasks. These command-line tools provide the underlying rendering engine required to process scanned PDF documents effectively.

Yes, the Skill supports extracting invoice data into a CSV file by automating text and table extraction. It compiles details from a batch of PDF invoices into structured formats for accounting and analysis purposes.