NepaliOCR
Recognize South Korean license plate numbers
Convert images to text using OCR
Convert images to text
A robust offline system for recognizing handwritten Hindi
Compare OCR results from images
Extract text from images
Convert Brahmi script images to Devanagari text
Convert images to text using OCR without code changes
Convert handwritten images to text
Extract text from images using OCR
Convert images to text from various languages
Florence 2 used in OCR to extract & visualize text
Nepali OCR is a cutting-edge Optical Character Recognition tool designed specifically for extracting text from images containing Nepali script. It leverages advanced AI technology to accurately recognize and convert handwritten or printed Nepali text from scanned documents, photographs, or digital images into editable text. With its unique scan effect feature, it mimics the appearance of a scanned document, making it ideal for various applications such as document digitization, academic research, and professional workflows.
• Text Extraction: Accurately extracts Nepali text from images with high precision.
• Scan Effect: Simulates the look of a scanned document for a professional finish.
• Font Customization: Supports multiple Nepali fonts for versatile text output.
• Language Support: Specialized for the Nepali script, ensuring accurate recognition of regional fonts.
• Offline Functionality: Works without internet connectivity, enabling use in remote areas.
• User-Friendly Interface: Intuitive design for seamless navigation and processing.
• Cross-Platform Compatibility: Runs smoothly on desktops, laptops, and mobile devices.
What file formats does Nepali OCR support?
Nepali OCR supports popular image formats such as JPEG, PNG, BMP, and TIFF.
Do I need an internet connection to use Nepali OCR?
No, Nepali OCR is designed to work offline, allowing you to use it without internet connectivity.
Can I use Nepali OCR on my smartphone?
Yes, Nepali OCR is cross-platform compatible, meaning it can be used on both desktop and mobile devices.