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Project Progress: HOCR Processing Tool

1. What Works

  • Initial Memory Bank Setup: The core documentation structure (projectbrief, productContext, activeContext, systemPatterns, techContext, progress) has been established in the memory-bank/ directory.

2. What's Left to Build / Verify

  • Verify Core Functionality: Need to run the application and test its basic OCR capabilities on sample images and PDFs.
  • Confirm Technical Assumptions: Validate the libraries and dependencies outlined in techContext.md by checking requirements.txt and relevant code sections.
  • Understand Configuration: Investigate config.py to determine how users configure the pipeline.
  • Test UI Layer: If app.py provides a UI (Streamlit/Flask), test its usability and connection to the backend pipeline.
  • Review Existing Code: Deeper dive into the modules (preprocessing.py, ocr_processing.py, etc.) to understand implementation details.
  • Assess Test Coverage: Examine the tests in testing/ to understand what is currently covered.
  • Address Specific User Goals: Once the baseline is understood, tackle any specific feature requests, bug fixes, or improvements requested by the user.

3. Current Status

  • Baseline Established (Memory Bank): As of 2025-05-05, the initial Memory Bank structure is in place.
  • Code Functionality: The operational status of the HOCR tool itself is yet to be verified.

4. Known Issues / Bugs

  • (None identified yet. To be populated as testing and development proceed.)

5. Evolution of Project Decisions (Decision Log)

  • 2025-05-05: Decided to create the standard Cline Memory Bank structure for the hocr project upon user request to check configuration. Found no existing memory-bank directory and proceeded with creation of core files.

(This document tracks the overall progress and state of the project.)