Qwen2-VL is a vision-language model that performs OCR
Generate text from images
Extract text from documents
Convert images to text using OCR without code changes
Convert images to LaTeX code
OCR System. Homepage: https://github.com/Topdu/OpenOCR
Extract text from single-line Kurdish images
Convert handwritten images to text
Extract text from a PDF file
Convert images to text using OCR
Extract Tamil text from images
Extract text from images using Easy OCR
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.