documentprocessing

This RAG stack can run on a raspberry pi (16GB CPU)

Multi-tenant RAG platform — AI document intelligence with hybrid search, LLM failover, and source attribution. Built with Next.js 15, Pinecone, Supabase, and Clerk.

Page setting templetes and document processing scripts for zine making

RAG-Enabled is a Python-based assistant that combines Retrieval-Augmented Generation (RAG), LangChain, and OpenAI to deliver intelligent responses. It supports multi-format document loading, context retrieval via ChromaDB, and auto-compresses chat history after 8 messages to maintain memory efficiency.

An on-going chatbot project. Deployed on Heroku and Github Page.

A Bot that downloads invoices from Customer Invoice Portal. Pulls specific details from invoices. Extract the details into an excel file

A Streamlit-based AI chatbot that allows users to upload PDFs and ask questions about their content using Google's Generative AI.

OCR Text Extractor – Cloud & Local Vision API Integration This application is designed to extract text from images using Optical Character Recognition (OCR) via multiple providers: Google Vision API Azure Cognitive Services Tesseract OCR (Local Engine)

Explore the Syncfusion .NET MAUI demos featuring our advanced PDF, Word, Excel, and PowerPoint document processing libraries.

Built an advanced RAG system that can intelligently query and synthesize information from diverse academic materials, delivering context-aware responses with remarkable accuracy.

This project is an implementation of Retrieval-Augmented Generation (RAG) using Streamlit. It integrates various document loaders and NLP models to allow users to upload documents, process them into text chunks, and create vector stores for efficient retrieval.

AI-powered document processor that extracts structured data from PDFs using LangChain + OpenAI GPT. Outputs to JSON and Excel.

AI Form Extractor is a full-stack application that leverages advanced AI models to extract and process data from forms. It supports OCR for handwritten and printed text, layout detection, and data extraction pipelines, with a modern React frontend and FastAPI backend.

This sample shows how to merge documents with JSON data using the DocumentProcessing Web API.

AI-powered document processing platform with OCR, summarization, translation, Q&A, text-to-speech, and file format conversion.

This sample shows how to merge a template created with DocumentEditor using DocumentProcessing

Explore the Syncfusion WinUI demos featuring our advanced PDF, Word, Excel, and PowerPoint document processing libraries.

An AI-powered Intelligent Document Processing (IDP) system that automates entity extraction from legal contracts using OCR (Tesseract) and NLP (SpaCy).

AI-powered document processor built with Claude API - upload a PDF, Word doc, or text file and get structured summaries, action items, entity extraction, and JSON/CSV export in seconds. Built as a portfolio project for enterprise AI developer roles.