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OCR System. Homepage: https://github.com/Topdu/OpenOCR
OCR and Document Search Web Application
Extract text from images using OCR
Number Plate OCR is an Optical Character Recognition tool designed to extract text from vehicle number plates. It leverages advanced AI and machine learning algorithms to recognize and convert images of number plates into readable text. This technology is widely used in vehicle identification, traffic management, parking systems, and security surveillance.
• High Accuracy: Precise text recognition even in challenging conditions.
• Multi-Language Support: Compatible with number plates from various regions and languages.
• Image Input: Accepts images from cameras, smartphones, or scanners.
• Real-Time Processing: Instant recognition and extraction of text.
• Advanced Filters: Enhances image quality for better recognition accuracy.
• Integration Ready: Compatible with third-party systems for seamless workflow.
What file formats does Number Plate OCR support?
Number Plate OCR supports JPG, PNG, and BMP image formats for processing.
Can Number Plate OCR work with blurry or low-quality images?
While the tool is optimized for clarity, it can still process blurry images with reduced accuracy. For best results, use high-resolution images.
Is Number Plate OCR available in multiple languages?
Yes, the tool supports text recognition in multiple languages, making it suitable for international use cases.