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Extract text from images
Upload an image to extract text
Demo of GOT-OCR 2.0's Transformers implementation
ColPali Qwen2VL OCR is a powerful Optical Character Recognition (OCR) tool designed to extract and search text from images. It leverages advanced AI technology to deliver high accuracy and efficiency in converting image-based text into editable and searchable formats. This tool is particularly useful for users who need to work with documents, images, or other visual content that contains text.
• High accuracy text recognition: Delivers precise extraction of text from images.
• Multi-language support: Capable of recognizing text in multiple languages.
• Image enhancement: Includes features to improve image quality for better OCR results.
• Integration-friendly: Can be easily integrated into workflows or other applications.
• Text search functionality: Allows users to search for specific text within extracted content.
1. What languages does ColPali Qwen2VL OCR support?
ColPali Qwen2VL OCR supports a wide range of languages, including English, Spanish, French, German, Chinese, Japanese, and many others.
2. Can ColPali Qwen2VL OCR handle handwritten text?
Yes, ColPali Qwen2VL OCR is capable of recognizing handwritten text, though accuracy may vary depending on the quality and clarity of the handwriting.
3. Does ColPali Qwen2VL OCR work with low-quality images?
While ColPali Qwen2VL OCR can process low-quality images, the accuracy of text extraction may be reduced. Using the built-in image enhancement features can help improve results.