Qwen2-VL is a vision-language model that performs OCR
A robust offline system for recognizing handwritten Hindi
Convert images to text using OCR
Extract text from images or sketches
OCR System. Homepage: https://github.com/Topdu/OpenOCR
Florence 2 used in OCR to extract & visualize text
Convert images of text into digital text
Extract text from documents using images
Generate text from images
Extract and overlay text on PDFs
Convert images to text from various languages
Convert images to multiplication pairs text
Extract and translate text from images
OCR Using Qwen2 VL is a powerful vision-language model designed to perform optical character recognition (OCR) tasks. It enables users to extract text from images and search for specific keywords within the extracted text, making it a versatile tool for document processing and analysis.
What formats does OCR Using Qwen2 VL support?
OCR Using Qwen2 VL supports popular image formats such as JPG, PNG, BMP, and PDF.
How accurate is the text extraction?
The accuracy is generally high but depends on the quality of the input image. Clear and well-lit images yield the best results.
Can I process multiple images at once?
Yes, the tool allows batch processing for multiple images, saving time for large-scale tasks.
Does OCR Using Qwen2 VL support handwritten text?
Yes, it supports handwritten text recognition, though accuracy may vary depending on handwriting quality.