Extract text and tables from PDFs using pypdf and pdfplumber.
npx skills add https://github.com/crazymsn/academic-skills --skill pdf-crazymsn
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/pdf Command: npx skills add https://github.com/crazymsn/academic-skills --skill pdf-crazymsn
PDFs are ubiquitous in workflows but extracting content, merging documents, filling forms, and enabling searchable archives often requires manual, error-prone steps. This skill automates these tasks to save time and ensure consistency.
Extract text from a PDF, merge documents, or fill forms.
High-intent search queries and answers about installing and using this skill.
To extract text and tables from PDF documents, this skill uses pdfplumber to identify structured table layouts and pypdf to pull raw text. It processes both native and scanned files to output clean, editable data for reporting pipelines.
Yes, you can perform OCR on scanned PDFs to make them searchable. By leveraging pdf2image and Pillow, the skill converts document pages into images and applies optical character recognition, enabling full text search and accessibility across archival files.
Filling out both fillable and non-fillable PDF forms is handled by mapping input data to interactive fields using pypdf and overlaying text onto flat documents via Pillow. This automates administrative workflows and ensures consistent form completion.
The best way to merge, split, and rotate PDF pages is by using pypdf within this skill to reorganize document structures. It reliably concatenates multiple files, extracts specific page ranges, and corrects page orientation for archival digitization.
Yes, this PDF processing skill supports applying watermarks and encrypting files. It uses pypdf to overlay image or text watermarks onto pages and applies password-based encryption or decryption to secure sensitive document workflows.
Limitations of using pypdf and pdfplumber for PDF data extraction include difficulty parsing highly complex, non-standard table layouts and multi-column structures. While robust for standard documents, scanned files require additional OCR processing steps via pdf2image to yield accurate text.
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