ocr-document-processor

Extract text from images, scanned PDFs, and photographs using Optical Character Recognition (OCR). Supports multiple languages, structured output formats, and intelligent document parsing. Preprocessing improves OCR accuracy on low-quality images. Output includes: Output structure: Creates styled HTML with: - Image OCR : Extract text from PNG, JPEG, TIFF, BMP images - PDF OCR : Process scanned PDFs page by page - Multi-language : Support for 100+ languages - Structured Output : Plain text, Markdown, JSON, or HTML - Table Detection : Extract tabular data to CSV/JSON - Batch Processing : Process multiple documents at once - Quality Assessment : Confidence scoring for OCR results - Document title (if detected) - Structured headings - Paragraphs - Tables (as Markdown tables) - Page breaks for multi-page docs - Preserved layout approximation - Highlighted low-confidence regions - Embedded images (optional) - Print-friendly styling - Image Quality : Higher resolution (300+ DPI) improves accuracy - Preprocessing : Use for low-quality scans - Language : Specifying language improves speed and accuracy - PSM Mode : Choose appropriate mode for document type - Large Files : Process PDFs page by page for memory efficiency - Handwritten text: Limited accuracy - Complex layouts: May lose structure - Very low quality: Preprocessing helps but has limits - Non-Latin scripts: Require specific...