Extract text from images using OCR
Extract text from images
Compare OCR results from images
Convert images to text using OCR without code changes
Extract text from handwritten images
Extract text from images using OCR
Convert images to text using OCR
Extract text from images using OCR
Convert images to text using OCR
Python3 package for Chinese/English OCR, with paddleocr-v4 o
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QwenOCR is an Optical Character Recognition (OCR) tool designed to extract text from images. It leverages advanced AI technologies to recognize and convert text within images into editable formats, making it a valuable tool for digitizing printed or handwritten content.
• Text Extraction: Accurately extracts text from images, including scanned documents, photos, and screenshots.
• Multi-Language Support: Supports recognition of text in multiple languages, catering to global users.
• Image Compatibility: Works with popular image formats such as JPG, PNG, and BMP.
• High Accuracy: Delivers precise text recognition, even with challenging fonts or low-quality images.
• Editing Capabilities: Allows users to copy, edit, or save the extracted text for further use.
What does OCR stand for?
OCR stands for Optical Character Recognition, a technology used to convert images of text into machine-readable text.
Which languages does QwenOCR support?
QwenOCR supports a wide range of languages, including English, Spanish, French, German, Chinese, Japanese, and many more. For a full list, refer to the official documentation.
Can QwenOCR work with low-quality images?
Yes, QwenOCR is designed to handle low-quality images and can still deliver accurate text extraction, though results may vary depending on the image clarity.