Convert images to text using OCR in various modes
Convert PDFs/Images to text using OCR
Convert images to text from various languages
Qwen2-VL is a vision-language model that performs OCR
Give it a pdf and it'll extract the text
Extract text from images
Read text from captcha images
Extract text from images using OCR
Extract text from images in multiple languages
Convert handwritten images to text
Extract text from images or sketches
Extract and overlay text on PDFs
Extract text from images
GOT OCR 2.0-IITR is an advanced OCR (Optical Character Recognition) tool designed to convert images into editable text with high accuracy. It supports multiple recognition modes, making it suitable for a wide range of document types and use cases. This tool is optimized for both personal and professional use, offering robust features to enhance productivity.
• Multi-mode OCR support: Handles various document types, including handwritten, printed, and mixed texts.
• High accuracy: Delivers precise text recognition with minimal errors.
• Multi-language support: Recognizes text in multiple languages for global compatibility.
• Text preservation: Maintains the original layout and formatting of documents.
• Image enhancement: Includes tools to improve image quality for better OCR results.
• Batch processing: Enables processing of multiple files at once for efficiency.
• Integration-ready: Can be integrated with other workflows and applications.
• User-friendly interface: Simplifies operations for both novice and advanced users.
What file formats does GOT OCR 2.0-IITR support?
GOT OCR 2.0-IITR supports common image formats such as JPG, PNG, BMP, and TIFF.
Can GOT OCR 2.0-IITR handle handwritten text?
Yes, GOT OCR 2.0-IITR includes specialized modes for handwritten text recognition, ensuring accurate extraction from non-printed documents.
Is GOT OCR 2.0-IITR available for mobile devices?
Currently, GOT OCR 2.0-IITR is optimized for desktop use. Mobile support is planned for future updates.