Asaan Form Website

AI-powered OCR and document processing system for real-world data automation. Multi Agents system website built using MERN stack for automatic form filling using Agents.

About the project

This project focuses on building an intelligent system that can automatically read, understand, and process documents using computer vision and AI. The system extracts text from images and scanned documents, cleans and structures the data, and uses AI models to fill the forms. The goal is to reduce manual work and make document processing faster and more accurate.

Date:

Jun 9, 2026

Services:

Project Overview

This project aims to automate document processing using OCR, machine learning, and AI models. It extracts text from scanned documents, performs data cleaning and validation, and applies AI techniques to analyze and process the extracted information. The system is designed to handle real-world challenges such as noisy data, varied formats, and incomplete inputs, making document workflows more efficient.

Things I Did

The following features are implemented in this project:

Research and select optimal OCR + layout analysis approach
Design modular, agent-based system architecture
Implement initial end-to-end processing pipeline
Develop responsive frontend
Build FAQs-based intelligent chatbot using RAG (Retrieval-Augmented Generation)
Support multilingual OCR (English & Urdu)
Semantic mapping from documents key/value pairs to the original forms
Validation through a validator agent for the missing and ambigious key fields
Preview and editablity of the filled forms
Download the compressed and required size/type of the form after filling