OCR for Arabic Language with QR code and Barcode Detection
Gemma-3 OCR App
Find relevant text chunks from documents based on a query
Extract text from images
Query deep learning documents to get answers
Find relevant passages in documents using semantic search
Search documents and retrieve relevant chunks
Extract and query terms from documents
Find similar text segments based on your query
Extract text from document images
Analyze scanned documents to detect and label content
Extract handwritten text from images
Process text to extract entities and details
OCR For Arabic is a tool designed to extract text from scanned documents specifically for the Arabic language. It combines Optical Character Recognition (OCR) technology with QR code and Barcode detection, making it a versatile solution for extracting and searching text from documents. This tool is particularly useful for users dealing with Arabic scripts and require accurate text recognition from various document formats.
• Arabic Text Extraction: High accuracy OCR for Arabic text in scanned documents, images, or PDFs.
• QR Code and Barcode Detection: Automatically detects and reads QR codes and barcodes within documents.
• Multi-Format Support: Works with scanned images, PDF files, and other document formats.
• Advanced Text Recognition: Handles complex layouts and fonts commonly used in Arabic documents.
• Searchable Text Output: Converts scanned text into searchable and editable digital formats.
• User-Friendly Interface: Easy-to-use interface for quick processing and extraction.
1. What file formats does OCR For Arabic support?
OCR For Arabic supports scanned images (JPG, PNG), PDF files, and other common document formats.
2. Can OCR For Arabic handle blurry or low-quality scans?
While OCR For Arabic is optimized for clear text, it can still process blurry or low-quality scans with reduced accuracy. For best results, use high-resolution images.
3. Does OCR For Arabic support other languages besides Arabic?
OCR For Arabic is primarily designed for Arabic text extraction. For other languages, additional tools or configurations may be required.