pdf

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

1|Updated May 2, 2026
One-click install
npx skills add https://github.com/akobryan1/Telemetry-Tracking-and-Command-TT-C- --skill pdf-akobryan1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pdf
Source: https://github.com/akobryan1/Telemetry-Tracking-and-Command-TT-C-/tree/main/.github/skills/skills/pdf
Command: npx skills add https://github.com/akobryan1/Telemetry-Tracking-and-Command-TT-C- --skill pdf-akobryan1

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Extracting text, tables, and images from PDFs, as well as creating and editing PDF documents, is often time-consuming and technically complex.

Core Features & Use Cases

  • Text and Table Extraction: Pull textual and tabular data from PDFs for analysis or archiving.
  • PDF Modification: Merge, split, rotate, encrypt, and add watermarks to PDF files for professional document handling.
  • Use Case: Automate the conversion of scanned receipts into searchable text and structured data, or generate customized reports with tables and graphics.

Quick Start

Use the pdf skill to extract all tables from a financial report PDF into an Excel file for review.

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 a PDF for data analysis?

To extract text and tables from a PDF, use Python libraries like pdfplumber and pypdf to pull textual and tabular data. This approach enables you to convert document content into structured formats for analysis or archiving.

Can I automate the conversion of scanned PDFs into searchable text?

Yes, you can convert scanned PDFs into searchable text using pdf2image and pytesseract. This workflow extracts image content and applies optical character recognition to transform scanned documents into searchable and structured data.

What is the best way to merge, split, or encrypt PDF documents?

The best way to merge, split, rotate, or encrypt PDF documents is by using Python tools like pypdf. This enables comprehensive PDF modification for professional document handling and archival workflows.

How do I generate customized PDF reports with tables and graphics?

To generate customized PDF reports with tables and graphics, use the reportlab Python library. This allows you to programmatically create and format new PDF documents tailored to specific reporting needs.

Does this PDF processing approach work for automating form data extraction?

Yes, this PDF processing approach works for form automation by utilizing Python libraries like pdfplumber to extract textual and tabular data. It is suitable for workflows involving document archival, form automation, and content analysis.