Fill PDF forms and extract text and tables using pypdf, pdfplumber, and pdf2image.
npx skills add https://github.com/psd401/psd-claude-plugins --skill pdf-psd401
Please help me install this Agent Skill. Skill: pdf Source: https://github.com/psd401/psd-claude-plugins/tree/main/plugins/psd-productivity/skills/pdf Command: npx skills add https://github.com/psd401/psd-claude-plugins --skill pdf-psd401
This Skill automates the process of filling out PDF forms and extracting data from PDF documents, saving significant time and reducing manual effort.
Use the pdf skill to fill out the form in 'application.pdf' with the provided data.
High-intent search queries and answers about installing and using this skill.
To automate filling non-fillable PDF forms, you can add text annotations based on visual analysis and defined bounding boxes. This approach overlays text onto the document without requiring existing interactive form elements.
The best way to extract text and structured tables from PDF documents is by using libraries like pypdf and pdfplumber. These tools parse document content directly to pull out structured data for further processing.
To populate interactive fillable PDF fields, you can directly update the existing form elements with user-provided data. The process checks field types and accurately fills pre-defined fields within the document.
Yes, you need Pillow and pdf2image to convert PDFs to images. These dependencies allow you to create validation images, enabling visual analysis to accurately place annotations on non-fillable forms.
Yes, you can use pypdf to check field types before filling out a PDF form. The process includes scripts for identifying field types to determine whether to fill existing fields or add annotations.
PDF data extraction often fails on scanned document images because tools like pypdf parse embedded text, not pixels. Scanned documents lack embedded text layers, requiring image conversion and visual analysis instead.
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