PDF OCR Extraction

Extract text from scanned documents and image-based PDFs using OCR technology. This skill helps you: Before OCR, ensure: - Extract text from scanned documents - Make image PDFs searchable - Digitize paper documents - Process handwritten text (limited) - Batch process multiple documents - Excellent : English, Spanish, French, German, Italian - Good : Chinese (Simplified/Traditional), Japanese, Korean - Moderate : Arabic, Hebrew (RTL support), Hindi - Basic : Many others with varying quality - Google Cloud Vision (excellent accuracy) - Amazon Textract (good for forms) - Azure Computer Vision (balanced) - Adobe Acrobat (integrated) - ABBYY FineReader (best accuracy) - Adobe Acrobat Pro (reliable) - Readiris (good value) - Tesseract (free, open source) - pytesseract (Python + Tesseract) - EasyOCR (Python, multi-language) - PaddleOCR (Python, good for Asian languages) - Cannot guarantee 100% accuracy - Handwritten text has low accuracy - Very small text may not extract well - Decorative fonts are problematic - Background images reduce quality - Cannot read text in complex graphics - Processing time increases with pages