Can it handle scanned documents or complex layouts?

Yes, while binary extraction is preferred, the skill includes an alternative image-based mode that processes documents page-by-page using vision capabilities for complex formatting.

Does this skill require external APIs?

Yes, it utilizes Vertex AI Gemini for intelligent image analysis, which requires a configured Google Cloud Project and gcloud authentication.

Why are absolute paths required?

The skill requires absolute paths or paths starting with the tilde (~) to ensure reliable file resolution across different directory contexts in the terminal.

What output formats does it support?

It generates a structured directory containing the extracted text in Markdown format, an image catalog with AI descriptions, and the original extracted image files.

PDF Extractor & Analyzer

Name: PDF Extractor & Analyzer
Author: smorand

bysmorand

Productivity & Workflow

Extracts text and analyzes images from PDF documents to create AI-friendly markdown content with intelligent classification.

About

The PDF Extractor skill transforms complex PDF documents into structured, AI-ready markdown files by combining high-performance text extraction with intelligent image analysis via Vertex AI Gemini. It handles everything from simple text parsing to complex image classification, providing a comprehensive catalog that describes diagrams, charts, and photos within the document. This skill is essential for developers and researchers who need to feed PDF content into LLMs while maintaining the context and metadata of visual elements.

Key Features

High-speed Go-based text extraction with layout preservation
Intelligent image cataloging with detailed metadata and descriptions
AI-powered image analysis and classification using Vertex AI Gemini
0 GitHub stars
Automatic conversion of PDF content to structured Markdown
Dual-mode support for both direct binary extraction and visual page analysis

Use Cases

Summarizing long technical reports containing complex charts and diagrams
Converting legacy PDF documentation into searchable, AI-compatible Markdown repositories
Extracting and classifying specific visual assets like data plots for automated analysis

About

Key Features

High-speed Go-based text extraction with layout preservation
Intelligent image cataloging with detailed metadata and descriptions
AI-powered image analysis and classification using Vertex AI Gemini
0 GitHub stars
Automatic conversion of PDF content to structured Markdown
Dual-mode support for both direct binary extraction and visual page analysis

Use Cases

Summarizing long technical reports containing complex charts and diagrams
Converting legacy PDF documentation into searchable, AI-compatible Markdown repositories
Extracting and classifying specific visual assets like data plots for automated analysis