Extract text from images with OCR
Upload and query documents for information extraction
Search documents using semantic queries
Extract text from PDF and answer questions
Extract key entities from text queries
Perform OCR, translate, and answer questions from documents
Employs Mistral OCR for transcribing historical data
Process text to extract entities and details
Extract information from documents by asking questions
Find similar sentences in your text using search queries
Analyze legal PDFs and answer questions
Parse documents to extract structured information
Analyze scanned documents to detect and label content
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.