Implemented OCR for Grocery Store Tickets

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Implemented OCR for Grocery Store Tickets

  • Day: 2024-08-11
  • Time: 17:05 to 18:20
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: OCR, Python, Data Analysis, Tesseract, Easyocr

Description

Session Goal

The primary goal of this session was to implement Optical Character Recognition (OCR) for digitizing grocery store tickets to facilitate data analysis.

Key Activities

  • Planning & Setup: Initiated the session with a plan to use Tesseract OCR in Python for processing grocery store tickets.
  • Language Configuration: Addressed issues with Spanish language data files for Tesseract, providing guidance on setting up Spanish language support.
  • Exploration of Alternatives: Considered alternative OCR solutions like EasyOCR, Google Cloud Vision, and Amazon Textract for handling multiple languages.
  • Implementation: Installed and configured EasyOCR, and developed Python scripts to process images, extract text, and save results in CSV format.
  • Integration: Integrated Pytesseract as an alternative OCR tool, ensuring seamless functionality with existing scripts.

Achievements

  • Successfully set up OCR using both EasyOCR and Pytesseract.
  • Developed scripts for processing images, extracting text, and saving results in structured CSV files.
  • Created a structured CSV format for product data, including quantities, prices, descriptions, and discounts.

Pending Tasks

  • Further testing of OCR accuracy and performance across different ticket formats.
  • Exploration of cloud-based OCR solutions for enhanced language support and scalability.

Evidence

  • source_file=2024-08-11.sessions.jsonl, line_number=0, event_count=0, session_id=fb7125ae3a48e64e22022c3308d1daa16929b9d07ce6fefcabbaa3bbfed12c66
  • event_ids: []

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