AI Document Processing & Intelligent Retrieval System

                                                                OCR  • RAG • LLM •  Automation Pipeline

Project Overview

This project demonstrates how AI can turn large document archives into actionable knowledge. I built a complete document intelligence pipeline that automates collection, OCR, data cleaning and semantic search. Users can query thousands of documents in natural language, drastically reducing time, costs and errors. The solution is designed for real enterprise scale and reliability. 

Business Problem

Large organizations manage thousands of technical documents, PDFs, Word files, images and scanned reports, but extracting structured information, searching across them, and generating insights manually is slow, expensive and error-prone.

The client needed a fully automated workflow capable of:
• Collecting raw documents from multiple sources
• Converting them into clean, reliable datasets
• Extracting text, tables and structured information
• Enabling natural-language search and analysis across all files

Solution 

I developed an end-to-end AI document intelligence pipeline combining automation, OCR, NLP and RAG.
The system automatically collects documents, extracts Spanish text with high accuracy, cleans and normalizes the data, and allows users to query thousands of files using natural language powered by advanced LLMs.

Accuracy of OCR + RAG retrieval exceeds 95% thanks to custom domain dictionaries, text-cleaning rules, and multi-stage confidence validation.

Project Milestones 

Project Conclusion 

This project delivers a fully automated, enterprise-grade system for document processing, OCR extraction and intelligent retrieval.
All documents, PDFs, Word files and images are cleaned, normalized and converted into structured datasets.
The custom OCR engine ensures high accuracy on Spanish technical language, while the RAG + LLM layer enables natural-language search, smart querying and instant knowledge extraction.

The result is a scalable end-to-end workflow that transforms thousands of unstructured documents into actionable, searchable intelligence for real operational use.

Impact

• Drastic reduction in manual review and data-entry time

• Clean, standardized datasets for analysis and compliance

• Higher accuracy and reliability thanks to confidence-filtered OCR

• Ability to search, query and summarize documents using natural language

• Scalable architecture ready for new document types and additional LLM capabilities 

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