Our customer faced significant challenges in extracting structured data from historical PDFs containing genealogical records. The traditional manual extraction process was inefficient, error-prone, and struggled with complex table layouts, unstructured formats, and mixed-language text (Hindi, Marathi, and English).

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Solution Implementation:

eligarf developed an advanced AI-powered data extraction system leveraging cutting-edge artificial intelligence and AWS cloud technology to streamline and enhance the process:

  • Automated Extraction: Implemented an AI-driven system capable of extracting and structuring tabular data with high accuracy.
  • Cloud Integration: Utilized AWS S3 for efficient PDF retrieval and management.
  • Technology Stack:
    • Employed open-source Python libraries (PyMuPDF) for raw text extraction
    • Integrated Claude AI for precise table formatting and structuring
  • Multilingual Processing: Incorporated transliteration capabilities to convert non-English text into English, enabling seamless processing of multilingual content.
  • Data Storage: Implemented a dual storage solution using Excel and MongoDB for enhanced data retrieval and analysis capabilities.
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Customer Benefits:

  • Enhanced Accuracy: The AI-driven approach significantly reduced manual errors, resulting in more precise data extraction.
  • Improved Efficiency: Automation substantially accelerated the data extraction and structuring processes.
  • Scalability: The system efficiently handles large volumes of documents without requiring additional manual intervention.
  • Language Versatility: Seamlessly processes content in Hindi, Marathi, and English, addressing the multilingual challenge.
  • Optimized Data Management: Structured storage in MongoDB facilitates easier data retrieval and enables more sophisticated future analysis.

This case study demonstrates the transformative potential of AI-powered solutions in modernizing genealogical research and historical data processing. By addressing key challenges in data extraction from complex, multilingual historical documents, eligarf’s solution has set a new standard for efficiency and accuracy in the field. For more details contact us at [email protected]