document-ocr-processing

What problem does it solve?

This Skill addresses the challenge of converting scanned Chuukese documents into accurate, searchable, and structurally preserved text, enabling faster digitization and archival.

Core Features & Use Cases

• Chuukese-Aware OCR: Enhanced recognition of accented characters and mixed Chuukese-English content.
• Traditional Format & Layout Preservation: Maintains original document structure, headings, and formatting across pages.
• Batch Processing: Efficiently processes multiple documents in a single run.
• Post-Processing: Language-specific corrections to fix common OCR errors and improve readability.
• Multilingual Support: Handles Chuukese alongside English within the same document.

Quick Start

To start, run the OCR workflow on a directory of scanned Chuukese documents, e.g., python ocr_processor.py --input scanned_chuukese_docs --output ocr_results. Review the extracted text and apply post-processing corrections as needed to improve accuracy.