Structured OCR data into CSV for financial records

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Structured OCR data into CSV for financial records

  • Day: 2025-01-09
  • Time: 19:00 to 20:15
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: OCR, CSV, Data Cleaning, Data Structuring, Financial Records

Description

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.

Evidence

  • source_file=2025-01-09.sessions.jsonl, line_number=0, event_count=0, session_id=b07cebbf438dbdd7e98b816c6ff935c5be4fe1fe10020deb3e0c16674990450c
  • event_ids: []

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