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# System Patterns: HOCR Processing Tool
## 1. High-Level Architecture
* **Modular Pipeline:** The system appears structured as a pipeline with distinct modules for different stages of OCR processing. Key modules suggested by filenames include:
* `preprocessing.py`: Handles initial image adjustments.
* `image_segmentation.py`: Identifies regions of interest (text blocks).
* `ocr_processing.py`: Manages the core OCR engine interaction.
* `language_detection.py`: Determines the language of the text.
* `pdf_ocr.py`: Specific handling for PDF inputs.
* `structured_ocr.py`: Likely involved in formatting the output.
* **Configuration Driven:** `config.py` suggests a centralized configuration management approach, allowing pipeline behavior to be customized.
* **Entry Point / Orchestration:** `app.py` likely serves as the main entry point or orchestrator, possibly for a web UI or API, coordinating the pipeline execution based on user input and configuration. `process_file.py` might be an alternative entry point or a core processing function called by `app.py`.
* **UI Layer:** The `ui/` directory (`ui/layout.py`, `ui/ui_components.py`) indicates a dedicated user interface layer, possibly built with Streamlit or Flask (as suggested in `projectbrief.md`).
* **Utility Functions:** The `utils/` directory (`utils/image_utils.py`, `utils/text_utils.py`, etc.) points to a pattern of encapsulating reusable helper functions.
* **Error Handling:** `error_handler.py` suggests a dedicated mechanism for managing and reporting errors during processing.
## 2. Key Design Patterns (Inferred)
* **Pipeline Pattern:** The core processing flow seems to follow a pipeline pattern, where data (image/document) passes through sequential processing stages.
* **Configuration Management:** Centralized configuration (`config.py`) allows for decoupling settings from code.
* **Separation of Concerns:** Different functionalities (UI, core processing, utilities, configuration) appear to be separated into distinct modules/files.
* **Utility/Helper Modules:** Common, reusable functions are grouped into utility modules.
## 3. Component Relationships (Initial Diagram - Mermaid)
```mermaid
graph TD
subgraph User Interface / Entry Point
A[app.py / UI Layer] --> B(process_file.py);
end
subgraph Configuration
C[config.py];
end
subgraph Core OCR Pipeline
B --> D(preprocessing.py);
D --> E(image_segmentation.py);
E --> F(ocr_processing.py);
F --> G(language_detection.py);
G --> H(structured_ocr.py);
end
subgraph Input Handling
I[pdf_ocr.py] --> B;
J[Image Input] --> B;
end
subgraph Utilities
K[utils/];
L[error_handler.py];
end
A --> C;
B --> C;
D --> K;
E --> K;
F --> K;
G --> K;
H --> K;
I --> K;
B --> L;
style User Interface / Entry Point fill:#f9f,stroke:#333,stroke-width:2px
style Configuration fill:#ccf,stroke:#333,stroke-width:2px
style Core OCR Pipeline fill:#cfc,stroke:#333,stroke-width:2px
style Input Handling fill:#ffc,stroke:#333,stroke-width:2px
style Utilities fill:#eee,stroke:#333,stroke-width:2px
```
## 4. Critical Implementation Paths
* **Image Input -> Preprocessing -> Segmentation -> OCR -> Structured Output:** The main flow for image files.
* **PDF Input -> PDF Extraction -> Image Conversion (per page) -> [Main Flow] -> Aggregated Output:** The likely path for PDF documents.
* **Configuration Loading -> Pipeline Execution:** How settings influence the process.
*(This document outlines the observed structure. It will be refined as the codebase is analyzed in more detail.)*
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