Recognize text from images
Qwen2-VL is a vision-language model that performs OCR
Convert images to text
Display OCRBench leaderboard for model evaluations
NepaliOCR
Extract text from images
Extract text from a PDF file
Made By FgsiDev
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OCR System. Homepage: https://github.com/Topdu/OpenOCR
Extract text from images using OCR
QwenOCR is an Optical Character Recognition (OCR) tool designed to recognize and extract text from images. It supports various image formats, including JPG, PNG, and BMP, making it a versatile solution for digitizing printed or handwritten text. QwenOCR is particularly useful for extracting text from scanned documents, photographs, or screenshots.
• Multi-language support: QwenOCR can recognize text in multiple languages.
• High accuracy: The tool is optimized for accurate text recognition even in challenging conditions.
• User-friendly interface: Designed for ease of use, QwenOCR simplifies the process of extracting text from images.
• Support for various file formats: Including PDF, TIFF, and other common image formats.
• Real-time processing: Quickly convert images to editable text with minimal waiting time.
What file formats does QwenOCR support?
QwenOCR supports JPG, PNG, BMP, PDF, and TIFF formats, among others.
Is QwenOCR free to use?
QwenOCR offers a free version with basic features, but advanced functionality may require a subscription.
How accurate is QwenOCR?
The accuracy of QwenOCR depends on the quality of the input image and the complexity of the text. It generally achieves high accuracy for clear, well-lit images.