pdf

Name: pdf
Availability: InStock
Author: endearqb

Extract text, tables, and metadata from PDFs using Python libraries.

6|1|Updated Feb 28, 2026

Search Tags:#automation #pdf #python #document-processing #data-extraction #text-extraction

Ready to run

npx skills add https://github.com/endearqb/kimi-app --skill pdf-endearqb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/endearqb/kimi-app/tree/main/skills/pdf
Command: npx skills add https://github.com/endearqb/kimi-app --skill pdf-endearqb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, Pillow, and includes scripts (resource) components.

What problem does it solve?

PDFs are often static and hard to extract data from, producing manual, error-prone workflows. This skill provides a comprehensive toolset to read, extract, transform, merge, and annotate PDFs to automate document tasks.

Core Features & Use Cases

Extract text and tables from PDFs using Python libraries such as pypdf and pdfplumber.
Merge, split, rotate, and watermark PDFs; fillable forms handling for both fillable and non-fillable forms.
OCR and image extraction support through pdf2image and related libraries to enable searchable archives.

Quick Start

Run the included Python scripts to merge, split, extract text, and apply annotations to PDFs.

Frequently Asked Questions about pdf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract text and tables from PDF documents using Python?▼

You can extract text and tables from PDF documents using Python libraries like pypdf and pdfplumber. These libraries read static PDF files and parse the structural layout to return editable text strings and structured table data for administrative workflows.

What is the best way to merge, split, and rotate PDF files programmatically?▼

The best way to merge, split, and rotate PDF files programmatically is by using Python automation scripts with the pypdf library. These scripts manipulate document pages to combine multiple files, separate specific pages, and adjust orientation for report digitization.

Can I process scanned PDFs and extract images without OCR?▼

You can process scanned PDFs and extract images using the pdf2image and Pillow libraries. These tools render PDF pages into images and handle image extraction, enabling searchable archives without requiring built-in text layers.

Does this PDF processing approach support fillable forms handling?▼

Yes, this PDF processing approach supports fillable forms handling. The included Python scripts can read, interact with, and transform both fillable and non-fillable forms to automate invoice processing and archival data retrieval workflows.

Why use pdfplumber instead of other Python libraries for data extraction?▼

You should use pdfplumber for data extraction when you need precise table structure recognition. It accesses the exact positioning of text elements within PDF documents, providing accurate structured data extraction compared to basic text-only parsing libraries.

How do I apply watermarks and annotations to PDF pages for archival?▼

To apply watermarks and annotations to PDF pages, run the included Python scripts that utilize pypdf and Pillow. These scripts overlay text or image stamps onto document pages, transforming and securing PDFs for archival data retrieval.