pdf

PDF text and table extraction is automated using Python libraries like pypdf and pdfplumber to pull content from multi-page invoices and reports. This Skill scripts the extraction process to pull content programmatically, enabling batch processing of invoices to generate summary CSVs.

Merging and splitting PDF documents is handled natively by this Skill to organize pages efficiently. It applies scriptable operations via pypdf to assemble or divide multi-page PDFs, streamlining document organization for contracts and reports without manual editing.

Programmatic form filling and annotation is supported for fillable PDFs using Python tools like pypdf. This Skill automates adding annotations and populating form fields, allowing you to handle contract workflows and generate completed documents via scripts.

PDF processing with this Skill works directly with Python libraries including pypdf, pdf2image, Pillow, and reportlab. It provides end-to-end capabilities for reading, creating, and annotating PDFs by leveraging these specific dependencies within a cohesive scriptable toolkit.

Creating new PDF documents is done using the reportlab library integrated within this Skill's workflow. It enables you to generate new PDFs programmatically, assemble content, and output structured documents for automated report generation pipelines.

PDF text extraction with pypdf is limited to digital text and cannot extract text from scanned image-based PDFs. For scanned documents, you need pdf2image and Pillow to convert pages to images, though this Skill focuses on digital text and form data extraction workflows.