Convert scanned images to text
Convert handwritten images to text
Python3 package for Chinese/English OCR, with paddleocr-v4 o
Convert Brahmi script images to Devanagari text
Extract text from images
Qwen2-VL is a vision-language model that performs OCR
Extract text from images in English and Urdu
Convert images to LaTeX code
Extract text from images
Extract text from images using OCR
Extract and overlay text on PDFs
Extract text from images using Easy OCR
Extract Tamil text from images
Qwen Ocr is a powerful OCR (Optical Character Recognition) tool designed to convert scanned images into editable text. It allows users to extract text from various image formats, making it an essential tool for document scanning, archiving, and data entry tasks. Its user-friendly interface and advanced OCR technology ensure accuracy and efficiency.
• Multi-language support: Recognizes text in multiple languages.
• High accuracy: Delivers precise text extraction from scanned images.
• Support for various file formats: Compatible with formats like JPG, PNG, PDF, and more.
• Offline functionality: Process images without an internet connection.
• Easy-to-use interface: Simple and intuitive design for all users.
What file formats does Qwen Ocr support?
Qwen Ocr supports common image formats such as JPG, PNG, BMP, and PDF.
Can I use Qwen Ocr without an internet connection?
Yes, Qwen Ocr offers offline functionality, allowing you to process images without needing an internet connection.
Is Qwen Ocr available for both Windows and macOS?
Yes, Qwen Ocr is compatible with both Windows and macOS operating systems.