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.
RAG application built with .NET 8, Semantic Kernel, Azure OpenAI, Qdrant, Docker, and PdfPig for multilingual question answering over private PDF documents.
Local-first PDF reader and editor: annotate, fill forms, edit text, redact, encrypt, OCR and organize pages. C# with Uno Platform, SkiaSharp and PdfPig; runs on desktop and in the browser. Libraries ship as NuGet packages.
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 ;)
Semantic PDF and DOCX diff CLI and GitHub Action for deterministic document regression testing in CI.
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.
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.
C#/.NET solution for extracting and matching structured flight data from Operational Flight Plan and Crew Briefing PDFs, with error handling and xUnit tests.
.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.
Terminplanung und Anwesenheitsverwaltung für einen Karnevalsverein — Blazor Server, .NET 10, EF Core, SQLite.
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