GenAI based Data Extraction with Query-Based Insights

An innovative method has been proposed to enhance data extraction and analysis from PDF files by combining OCR technology with advanced AI models. The process begins with a PDF Reader module that employs OCR to extract text from PDFs, addressing challenges posed by the unstructured nature of document content. To tackle these difficulties, the Gemini LLM model transforms semi-structured or unstructured text into structured JSON formats. Once the data is structured, the Pandas AI component leverages the GROQ and Mistral LLM models to generate visualizations such as charts, graphs, and tables. These visual representations provide a more intuitive and insightful way to interpret the extracted data. This approach not only ensures more accurate data extraction but also significantly enhances the analysis and comprehension of complex documents.

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Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1109/esci63694.2025.10987906
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

GenAI based Data Extraction with Query-Based Insights

Prem Shejole, Sharayu Chakole, Swati Shilaskar, Amit Samarth
Web Data Mining and Analysis
article

GenAI based Data Extraction with Query-Based Insights

Prem Shejole, Sharayu Chakole, Swati Shilaskar, Amit Samarth
article en

Abstract

An innovative method has been proposed to enhance data extraction and analysis from PDF files by combining OCR technology with advanced AI models. The process begins with a PDF Reader module that employs OCR to extract text from PDFs, addressing challenges posed by the unstructured nature of document content. To tackle these difficulties, the Gemini LLM model transforms semi-structured or unstructured text into structured JSON formats. Once the data is structured, the Pandas AI component leverages the GROQ and Mistral LLM models to generate visualizations such as charts, graphs, and tables. These visual representations provide a more intuitive and insightful way to interpret the extracted data. This approach not only ensures more accurate data extraction but also significantly enhances the analysis and comprehension of complex documents.

Openalex Percentile: Top 86%
Web Data Mining and Analysis
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