Extract text from images with OCR
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Compare different Embeddings
AI powered Document Processing app
Extract text from documents or images
GOT - OCR (from : UCAS, Beijing)
Search... using text for relevant documents
Find information using text queries
Find relevant text chunks from documents based on queries
Extract handwritten text from images
Search documents using semantic queries
Find relevant text chunks from documents based on a query
Search for similar text in documents
QwenOCR is an AI-powered tool designed to extract text from scanned documents and images. It leverages Optical Character Recognition (OCR) technology to accurately recognize and convert text within visual media into editable formats. This tool is particularly useful for users who need to work with text trapped in images, such as scanned documents, photos, or screenshots.
• Text Extraction: Accurately extracts text from images, including scanned documents and photos.
• Multi-Language Support: Recognizes text in multiple languages for global accessibility.
• User-Friendly Interface: Streamlined design for ease of use, even for non-technical users.
• ** Layout Preservation**: Maintains the original formatting of extracted text for consistency.
• Cloud-Based: Accessible from anywhere, with no need for local software installation.
• Integration: Works with popular productivity tools for seamless workflows.
What file formats does QwenOCR support?
QwenOCR supports common image formats like JPG, PNG, BMP, and TIFF.
Can QwenOCR extract text from handwritten documents?
Currently, QwenOCR is optimized for printed text. Handwritten text extraction is limited and may not be accurate.
Is QwenOCR available for free?
QwenOCR offers a basic free tier with limitations. For advanced features, a subscription may be required.