Extract text and tables from PDFs using Python libraries.
npx skills add https://github.com/hyperbolic-c/auto-writing --skill pdf-hyperbolic-c
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/hyperbolic-c/auto-writing/tree/main/claude-scientific-writer/skills/document-skills/pdf Command: npx skills add https://github.com/hyperbolic-c/auto-writing --skill pdf-hyperbolic-c
This Skill standardizes and automates PDF processing tasks, enabling text and table extraction, PDF creation, merging/splitting, and form handling to accelerate document workflows.
Use the pdf skill to extract text from a sample PDF (e.g., sample.pdf) and inspect the results.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from PDFs, this automation skill uses the pypdf and pdfplumber libraries to parse document structures and return actionable data. It automates extraction across large document collections to accelerate data workflows.
Automating PDF form filling is handled through annotation-based workflows that support both fillable and non-fillable documents. This skill digitizes forms across large collections, using Python to programmatically populate fields and generate completed outputs.
Yes, you need Python dependencies including pypdf, pdf2image, and Pillow installed in your environment to parse, render, and manipulate PDF documents. These libraries provide the core functionality for text extraction and image processing.
You can merge and split large collections of PDF files programmatically using this skill. It standardizes document workflows by automating PDF creation and manipulation, allowing you to combine multiple documents or divide them into separate outputs.
PDF rendering and image conversion work by using the pdf2image library alongside Pillow to convert PDF pages into image formats. This allows the skill to visually process documents, enabling annotation-based workflows and non-fillable form handling.
ShunmeiChoExtract text, tables, and form data from PDFs using Python libraries.
takemi-ohamaExtract text, tables, sections, and metadata from PDF documents.
eosphoros-aiExtract financial metrics, calculate ratios, and generate charts from PDF reports.
anilcan-karaExtract text from PDFs and scanned documents using pymupdf or marker-pdf.
