OCR Expert for PDF Data Extraction Improvement

Senior OCR / PDF Data Extraction Expert Needed We are looking for an experienced developer with strong expertise in: * OCR systems * PDF parsing * Table extraction * Document AI * Data normalization * Matching and reconciliation algorithms Project Overview We have an existing web application that processes business documents (PDF invoices and related documents) and extracts structured line-item data. The current system is already operational and includes: * OCR pipeline * Data extraction * Matching engine * Web interface However, we are experiencing accuracy issues in specific document layouts, including: * Incorrect table reconstruction * Merged rows or merged numeric values * Quantity/price parsing errors * Duplicate line detection issues * Aggregation inconsistencies * Matching inaccuracies between related documents What We Need An expert who can: 1. Review the current extraction workflow. 2. Analyze problematic PDF samples. 3. Identify the root cause of calculation discrepancies. 4. Recommend and/or implement improvements. 5. Advise whether advanced AI-based table reconstruction is actually required or whether the issues can be solved through improved parsing logic. Requirements * Proven experience with OCR technologies. * Experience with Google Vision, Azure Document Intelligence, AWS Textract, Tesseract, or similar. * Strong knowledge of PDF table extraction. * Experience debugging large-scale document-processing systems. * Ability to review existing code and provide architectural recommendations. Preferred * Experience with invoice processing systems. * Experience with financial/business document workflows. * Experience with LLM-assisted document reconstruction. Please include: * Relevant projects. * OCR/document AI experience. * Suggested approach for diagnosing extraction accuracy issues.

Project ID: 40529921