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upwork.com π‘ 2026-05-07
πΉ PDF to Word Extraction with Traceability
π€ Client: πΊπΈ USA Member since 2026-03-02
π° Price: ****
π© Problem: Extract data from pharmaceutical PDFs (analytical reports, CoAs, stability studies) and populate Word templates while maintaining traceability of extracted values.
π¦ Existing: Not specified
Specifications:
[Target] - Extract specific data points from PDFs for Word template population
[Method] - Use pdfplumber, PyMuPDF, Camelot, or Tabula for PDF parsing; Tesseract, Textract, or Azure for OCR; GPT-4 / Claude for intelligent extraction; and structured output methods like pandas DataFrame.
[UI/UX] - Not applicable
[Stack] - Python (pdfplumber, PyMuPDF, Camelot, Tabula, Tesseract, Textract, Azure, GPT-4 / Claude), Pandas, Word Document API
[Security] - Ensure data privacy and security during extraction and processing; use secure APIs and libraries.
[Format] - JSON for structured output with filename, page number, section header, extracted values
Workflow:
1. Analyze sample PDFs to understand structure and identify key data points.
2. Develop a Python script using pdfplumber, PyMuPDF, Camelot, or Tabula for parsing PDF content.
3. Integrate OCR tools like Tesseract, Textract, or Azure to handle scanned documents.
4. Implement GPT-4 / Claude for intelligent extraction of structured data from tables and text.
5. Populate Word templates with extracted data using Python's Word Document API.
6. Ensure traceability by logging filename, page number, section header, and extracted values in JSON format.