Document Layout Analysis resources repos for development with PdfPig.
A Fast, Cross-Platform Pdf Reader
Extract tables from PDF files (port of tabula-java)
Cross-platform C# library to render PDF as images
A C# library to extract tabular data from PDFs (port of camelot Python version using PdfPig).
Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
ChatGPT-like Application using RAG pattern that allows to ask question to my own documents - I Used Semantic Kernel to integrate a LLM (OpenAI) using C# to orchestrate AI pluggins (Azure Cognitive Services). For the document embeddings I used Qdrant for the vector database and Pdfpig to extract the content from the pdfs
Proof of concept of a simple SVM Region Classifier using PdfPig and Accord.Net. The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
AI Resume Analyzer: Azure OpenAI-powered ATS Scoring & Skill Gap Detection
🔬 Proof of Concept of extracting content from PDF files using multiple PDF libraries
A full-stack web app that turns Fighting Fantasy-style gamebook PDFs into playable adventures. Built with .NET 8 (Clean Architecture + EF Core/PostgreSQL) and React 19 (Vite + Tailwind), featuring layout-aware PDF parsing, real user accounts, a chronicle-style reader, and a character sheet. Still under development ;)
PDF layout intelligence for .NET — structured extraction tuned for RAG and LLM pipelines.
Free offline Windows PDF editor built for non-technical users — redaction that really deletes the text, fill & sign, page organising and OCR. No account, no upload, no subscription.
Semantic PDF and DOCX diff CLI and GitHub Action for deterministic document regression testing in CI.
DocuFlow is a modern, distributed document processing platform built on .NET Clean Architecture. It leverages Azure's AI capabilities to automatically extract, categorize, and analyze data from various document types.
This project implements a production-style RAG ingestion and retrieval pipeline in .NET 8 using Azure OpenAI, Azure AI Search, and Azure Blob Storage, with an accompanying retrieval benchmark comparing chunk sizes using Recall@K, Precision@K, MRR, and Hit@K.
.NET 10 class library that extracts structured flight data (OFP + Crew Briefing) from flight-planning PDFs — compile-time field extensibility, three-tier error model, async API.
C#/.NET solution for extracting and matching structured flight data from Operational Flight Plan and Crew Briefing PDFs, with error handling and xUnit tests.
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