Enhanced OCR and PDF Data Processing Workflow

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Enhanced OCR and PDF Data Processing Workflow

  • Day: 2024-12-22
  • Time: 21:50 to 22:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: OCR, Data Cleaning, PDF, Data Extraction, Automation

Description

Session Goal

The session aimed to enhance the OCR process for better data extraction and to clean and structure OCR output data into a CSV format, creating a DataFrame for improved organization and usability.

Key Activities

  • Cleaned and structured OCR output data into a CSV format and created a DataFrame for better organization.
  • Identified issues with OCR output quality and proposed adjustments to enhance text extraction for meaningful transaction data.
  • Addressed challenges of noise and formatting issues in refined OCR data, applying advanced text-cleaning techniques for improved accuracy.
  • Improved OCR results for structured data extraction by enhancing image quality, supporting manual parsing, and utilizing specialized OCR tools.
  • Processed PDF content to extract relevant transaction details and created a structured dataset.
  • Successfully extracted transactions from PDFs into a structured table ready for review or export.
  • Completed processing of PDF micro-transactions, consolidating them into a single DataFrame.

Achievements

  • Enhanced OCR process and data extraction techniques, resulting in a structured dataset ready for further analysis.
  • Successfully processed and consolidated micro-transactions from PDFs into a DataFrame.

Pending Tasks

  • Further adjustments or analyses of the extracted data can be requested if needed.

Evidence

  • source_file=2024-12-22.sessions.jsonl, line_number=4, event_count=0, session_id=5756b0e545f9d780fc38c83ea6606f5241f50b9464dfd0c4e0353c951470e3f2
  • event_ids: []

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