🕷️️ Job Radar • SCRAPING

upwork.com 🟡 2026-05-08

🔹 Refactor Raw Medical Bill Data into Structured Spreadsheet
👤 Client: 🇺🇸 USA Member since 2026-05-06
💰 Price: ****
🚩 Problem: Extract structured data from medical bills for accurate input into a provided spreadsheet.
📦 Existing: Not specified

Specifications:

[Target] - Extract key fields such as patient ID, date of service, procedure codes, and charges.
[Method] - Use optical character recognition (OCR) tools to read text from images or PDFs of medical bills.
[UI/UX] - Design a simple data entry form for manual input if OCR fails on specific documents.
[Stack] - Python with libraries like PyTesseract for OCR, Pandas for data manipulation and Excel for output.
[Security] - Ensure all health-related information is handled securely following HIPAA guidelines.
[Format] - Output structured CSV or XLSX files compatible with the provided spreadsheet.

Workflow:

1. Review sample medical bills to understand structure and identify key data points.
2. Implement OCR using PyTesseract to extract text from bill images/PDFs.
3. Manually input any extracted data that is unclear or requires context into a structured form.
4. Clean and format the extracted data in Python using Pandas for consistency.
5. Export cleaned data into a structured CSV/XLSX file compatible with the provided spreadsheet.