Extract text and tables from PDFs using pypdf and pdfplumber.
npx skills add https://github.com/antoniolg/agent-kit --skill pdf-antoniolg
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/antoniolg/agent-kit/tree/main/skills/3rd-pdf Command: npx skills add https://github.com/antoniolg/agent-kit --skill pdf-antoniolg
PDF workflows are often manual and error-prone when extracting text and tables, generating new documents, merging or splitting PDFs, and handling forms. This Skill provides a comprehensive toolkit to automate these tasks using Python libraries such as pypdf, pdfplumber, and related tooling, enabling scalable PDF processing.
Process a sample PDF to demonstrate core capabilities by running the included scripts in this repository.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from PDF files using Python, this Skill uses pdfplumber and pypdf to parse document structures. It processes document-heavy workflows like archiving and auditing, converting unstructured PDF content into usable data for contracts, invoices, and reports.
Yes, you can fill and manage PDF forms automatically with Python. This Skill uses pypdf to handle form digitization and annotations, automating repetitive data entry across contracts and invoices for organizations and teams.
The best way to merge or split PDF documents in Python is using pypdf within this Skill. It provides code-based pipelines to safely generate new documents, automating repetitive document processing across archives and reports.
Yes, pdfplumber works with pypdf for PDF table extraction. This Skill explicitly relies on both libraries to parse and render PDFs, combining their strengths to extract text and tables for form digitization and auditing workflows.
PDF table extraction fails on scanned documents because scanned PDFs contain images, not embedded text layers. This Skill uses pdfplumber for text and table extraction, requiring pdf2image and Pillow to render images rather than parse text directly.
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