Convert images to text using OCR
Made By FgsiDev
Extract text from images
Generate text from images
Recognize text from handwritten images
Extract text from images and search for keywords
Extract text from PDFs
Convert image text to markdown format
Convert PDFs/Images to text using OCR
Extract text from images in multiple languages
Qwen2-VL is a vision-language model that performs OCR
Extract text from a PDF using OCR
Compare OCR results from images
QwenOCR is an Optical Character Recognition (OCR) tool designed to convert images into editable text. It leverages advanced AI technology to recognize and extract text from scanned documents, photographs, and other image formats, making it a valuable tool for digitizing hard-copy content.
• High-Accuracy Text Recognition: QwenOCR delivers highly accurate text extraction from images, ensuring minimal errors in conversion.
• Multilingual Support: The tool supports multiple languages, making it versatile for global users.
• Image Processing Capabilities: It can handle various image formats and quality levels, including scanned documents and screenshots.
• Export Options: Users can export the extracted text in formats like TXT, PDF, and Word documents.
• Offline Functionality: QwenOCR can work without an internet connection, providing privacy and convenience.
1. What file formats does QwenOCR support?
QwenOCR supports JPEG, PNG, BMP, and PDF for image inputs, and text can be exported as TXT, PDF, or Word documents.
2. Is QwenOCR available for both Windows and macOS?
Yes, QwenOCR is cross-platform and can be used on both Windows and macOS devices.
3. How accurate is QwenOCR compared to other OCR tools?
QwenOCR offers high accuracy comparable to leading OCR tools, but results may vary depending on the quality of the input image. For best results, use clear and properly oriented images.