📅 2025-01-09 — Session: Structured OCR data into CSV for financial records
🕒 19:00–20:15
🏷️ Labels: OCR, CSV, Data Cleaning, Data Structuring, Financial Records
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to clean, structure, and convert OCR-extracted data into CSV format for financial records, ensuring accuracy and usability.
Key Activities
- Identified and corrected misalignment and OCR errors in extracted text.
- Inferred data structure from OCR outputs, focusing on account characteristics and payment information.
- Converted structured data into CSV files, preparing them for download and review.
- Addressed date format issues in Google Sheets by converting dates to a standard format (YYYY-MM-DD).
- Updated and formatted payment tables with consistent date and number formats.
Achievements
- Successfully cleaned and structured OCR output data into two separate CSV files.
- Ensured the availability of structured data files for download, facilitating further analysis and record-keeping.
- Resolved date format issues in Google Sheets, improving data consistency.
Pending Tasks
- Review and verify the accuracy of the structured CSV files.
- Continue to monitor and refine the OCR data extraction process for improved accuracy in future sessions.