ocr-document-processor

Extract text from images and scanned PDFs with support for 100+ languages, table detection, and multiple output formats. Handle OCR-heavy inputs where text must be recovered from images or scanned pages. - Handles PNG, JPEG, TIFF, BMP images and multi-page PDFs with per-page or full-document extraction - Supports 100+ languages with auto-detection, language-specific packs, and multi-language document processing - Exports to plain text, Markdown, JSON, HTML, and searchable PDFs with confidence scoring and bounding box data - Includes intelligent preprocessing (deskew, denoise, contrast enhancement, shadow removal) for low-quality scans and specialized parsers for receipts and business cards - Batch processing for directories, configurable page segmentation modes, and per-word confidence assessment for quality validation - OCR on images and scanned PDFs - Searchable PDF export - Structured extraction to text, markdown, JSON, or HTML - Table extraction from scanned material - Receipt parsing and business card parsing - Decide whether plain OCR, structured extraction, or document-specific parsing is needed. - Preprocess noisy inputs before extraction when skew, blur, or shadows are present. - Use scripts/ocr_processor.py for core OCR tasks. - Use the focused helpers when the input is specialized: - scripts/business_card_scanner.py - scripts/receipt_scanner.py - Return confidence...