📅 2024-12-22 — Session: Enhanced OCR and PDF Data Processing Workflow
🕒 21:50–22:00
🏷️ Labels: OCR, Data Cleaning, PDF, Data Extraction, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
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.