Extract text, tables, and form data from PDF documents.
npx skills add https://github.com/POBIM/Claude-Skill-Teach --skill pdf-pobim
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/POBIM/Claude-Skill-Teach/tree/main/.claude/skills/pdf Command: npx skills add https://github.com/POBIM/Claude-Skill-Teach --skill pdf-pobim
Manually interacting with PDFs for data extraction, form filling, or document manipulation is a time sink. This skill provides a comprehensive toolkit to automate these complex tasks, saving significant time and reducing errors, so you can focus on higher-value work.
Use the pdf skill to check if the attached document 'application.pdf' has fillable form fields. If it does, extract the form field information.
High-intent search queries and answers about installing and using this skill.
Extract text and tables from PDFs using Python libraries like pdfplumber and pypdf. These tools parse PDF content into structured formats, converting unstructured document data into text strings and tabular data you can process, filter, or export for analysis.
Yes, you can automatically fill both fillable and non-fillable PDF forms by detecting form fields, mapping data to field names, and writing values back to the PDF. This works with complex layouts and requires visual analysis for precise annotation and field location.
Use pypdf and reportlab to merge multiple PDFs, extract specific pages, rotate content, and create new documents. These libraries handle document assembly operations end-to-end, letting you automate batch workflows without manual file manipulation.
Parse form field metadata using pypdf and pdfplumber to extract bounding box coordinates, field names, and types. Validation artifacts confirm field locations and properties, ensuring accuracy before automated form filling or data extraction runs.
Yes, convert scanned PDF pages to images using pdf2image and Pillow, then apply pytesseract for OCR. This extracts text from non-digital documents and complex layouts where standard text extraction fails, producing searchable content.
Core dependencies include pypdf for form and document manipulation, pdfplumber for structured data extraction, pdf2image and Pillow for image conversion, pytesseract for OCR, and reportlab for PDF generation. pandas structures extracted data; pypdfium2 provides alternative rendering.
robertlupo1997Extract text, tables, and fill forms in PDFs using Python scripts.
omicverseExport pandas DataFrames and AnnData tables to styled Excel workbooks.
rovanniFill PDF forms and extract field values and metadata programmatically.
NebutraParse PDF, Office, and image files into clean Markdown.
