Convert images to text using OCR in various modes
Extract text from single-line Kurdish images
Extract text from images or sketches
Convert images to text using OCR
Convert images of text into digital text
Convert handwritten images to text
Demo of GOT-OCR 2.0's Transformers implementation
Extract text from images and search for keywords
Recognize text from handwritten images
A robust offline system for recognizing handwritten Hindi
Upload an image to extract text
Convert images to text
Extract text from images
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.