PDF Data Extraction and Search Solution

Project Snapshot

• Industry: Enterprise Data Management

• Client Type: Enterprises handling large-scale document repositories

• Duration: Multi-phase implementation

• Deployment Model: Cloud-native solution on Azure & AWS EC2

• Technologies: Python, FastAPI, Pandas, Azure, EC2, Faiss, Sentence Transformers, MySQL

The Challenge

Organizations relying heavily on PDFs face multiple challenges:

• Extracting structured data from unstructured PDF files at scale

• Enabling fast and intelligent search across large document repositories

• Building an enterprise-grade retrieval system that combines semantic understanding with performance

• Providing API-based access for seamless integration into existing systems

Our Solution

We developed an AI-powered PDF Data Extraction and Search Solution to automate processing and retrieval:

• Data Extraction & Structuring

  • Implemented NLP techniques in Python with Pandas to extract and transform unstructured PDF content into structured datasets

  • Stored processed data efficiently in MySQL for downstream usage

• Intelligent Search & Retrieval

  • Built a retrieval pipeline powered by Faiss vector database and Sentence Transformers

  • Enabled semantic search capabilities for more relevant and context-aware results

• API for Data Access

  • Designed a FastAPI-based REST API for developers and business users to query documents seamlessly

  • Ensured scalable deployment on Azure and AWS EC2 for enterprise readiness

The Impact

The solution delivered strong business value:

• Improved Efficiency → Automated data extraction reduced manual processing effort significantly

• Faster Information Access → Vector database–powered search accelerated query resolution

• Context-Aware Retrieval → Semantic search improved accuracy and relevance of results

• Scalable & Secure Deployment → Cloud-native architecture ensured performance and reliability for enterprise-scale workloads

Our Role

We collaborated with the client to:

• Build robust PDF extraction pipelines using NLP

• Design and implement Faiss + Sentence Transformer–based retrieval systems

• Create developer-friendly APIs for data access and integration

• Deploy and scale the solution across Azure and AWS environments

Client Testimonial

“This solution transformed how we work with PDF data. From automated extraction to intelligent search, it has saved time, improved accuracy, and made our data far more accessible.”
— Head of Data Operations, Enterprise Client