Extract text from images with OCR
Find relevant legal documents for your query
Extract text from images using OCR
Gemma-3 OCR App
Parse documents to extract structured information
Next-generation reasoning model that runs locally in-browser
Extract text and summarize from documents
GOT - OCR (from : UCAS, Beijing)
Search documents using semantic queries
Upload and query documents for information extraction
Analyze documents to extract and structure text
Find relevant text chunks from documents based on queries
Find similar sentences in text using search query
QwenOCR is a powerful Optical Character Recognition (OCR) tool designed to extract text from scanned documents and images. It leverages advanced AI technologies to accurately recognize and convert printed or handwritten text into editable digital text. Whether you're working with invoices, receipts, books, or any other type of document, QwenOCR simplifies the process of digitizing your content.
• Multi-language Support: Recognizes text in multiple languages, making it a versatile tool for global users.
• High Accuracy: Utilizes cutting-edge OCR algorithms to ensure precise text extraction, even from low-quality images.
• Support for Various Formats: Works seamlessly with JPG, PNG, PDF, and other common image formats.
• Batch Processing: Enables processing of multiple documents at once, saving time and effort.
• Integration Capabilities: Can be integrated into workflows for automated document processing.
1. What file formats does QwenOCR support?
QwenOCR supports a wide range of file formats, including JPG, PNG, PDF, BMP, and more.
2. Can QwenOCR handle handwritten text?
Yes, QwenOCR is capable of recognizing handwritten text, though accuracy may vary depending on the quality of the handwriting and image.
3. Is QwenOCR available for mobile devices?
Yes, QwenOCR is accessible on mobile devices through its web-based platform, ensuring flexibility for users on the go.