Convert images to text using OCR in various modes
Extract and search text from images
Extract text from a PDF file
Convert Brahmi script images to Devanagari text
Recognize text from handwritten images
Extract text and search keywords from images
Convert images to text
Convert images to LaTeX code
NepaliOCR
Extract text from documents
Extract text from images using OCR
Extract Tamil text from images
Demo of GOT-OCR 2.0's Transformers implementation
GOT OCR 2.0-IITR is an Optical Character Recognition (OCR) tool designed to extract text from images with high accuracy. It supports various modes to cater to different user needs, making it a versatile solution for converting visual text into editable formats.
• Multi-Mode Support: Offers different operational modes to suit various scenarios.
• High Accuracy: Delivers precise text extraction even from complex or low-quality images.
• Multi-Language Support: Recognizes and converts text in multiple languages.
• User-Friendly Interface: Intuitive design for seamless navigation and operation.
• Integration Capabilities: Can be integrated with other systems for enhanced workflow efficiency.
• Batch Processing: Allows processing of multiple images simultaneously.
• Customizable Settings: Enables users to fine-tune settings for optimal results.
What file formats does GOT OCR 2.0-IITR support?
GOT OCR 2.0-IITR supports common image formats such as JPEG, PNG, BMP, and TIFF.
Can GOT OCR 2.0-IITR handle low-quality images?
Yes, GOT OCR 2.0-IITR is designed to work with low-quality or blurry images, though accuracy may vary depending on the image quality.
Is GOT OCR 2.0-IITR available for mobile devices?
Currently, GOT OCR 2.0-IITR is primarily designed for desktop use, but mobile compatibility is being developed for future releases.