pdf

To extract text and tables from PDF documents, this Skill uses pdfplumber and pypdf to parse structured content and render pages. It pulls editable data from PDFs into formats suitable for analysis, saving results to CSV or JSON.

Automating invoice processing is achieved by extracting field data from PDFs and generating summary reports. This Skill parses document content using Python libraries to produce structured CSV or JSON outputs for administrative workflows.

You can fill out PDF forms and annotate non-fillable fields programmatically. This Skill handles form digitization by interacting with fillable fields and applying annotations to non-fillable documents for easy processing.

PDF extraction works with scanned documents by rendering pages to images. Using pdf2image and Pillow, this Skill parses content and renders pages when needed, allowing extraction from both native text and image-based PDFs.

To merge, split, and generate new PDF documents, this Skill uses pypdf to compose new files, combine multiple sources, and partition large files. It operates across local environments and scripting pipelines for document generation.

Required Python libraries include pypdf, pdfplumber, pdf2image, and Pillow. These dependencies enable the Skill to parse content, render pages to images when needed, and generate structured outputs for archival digitization.