Document Reader

About

This tool functions as a Model Context Protocol (MCP) server, designed to enhance the understanding of diverse document formats such as Word, PDF, Excel, RTF, and plain text files. Its core strength lies in its ability to automatically extract and analyze embedded images, including technical diagrams and flowcharts, using computer vision. Beyond text and image extraction, it also validates embedded links, offering a comprehensive view of document content and structure, which is particularly beneficial for AI-Agent development and automated document processing workflows.

Key Features

• Automated image extraction with structural analysis, including detection of shapes and text within diagrams.
• Supports multiple document formats including Word (.docx), PDF, Excel (.xlsx/.xls), RTF, and text files.
• 2 GitHub stars
• Extracts and validates embedded links (HTTP/HTTPS) from documents.
• Allows granular control over document reading, such as specifying page ranges for PDFs or worksheets for Excel files.
• Intelligent understanding of technical diagrams (e.g., flowcharts, architecture diagrams) using OpenCV.

Use Cases

• Enhance AI-Agent capabilities by providing structured understanding of document content, images, and links.
• Automate batch processing of documents for text extraction, image analysis, and link validity checks.
• Perform comprehensive document content analysis, auditing, and media resource inventory generation.