Extract text from images with OCR
Extract text from images using OCR
OCR Tool for the 1853 Archive Site
Process and extract text from images
Fetch contextualized answers from uploaded documents
Extract named entities from text
Analyze documents to extract and structure text
Analyze PDFs and extract detailed text content
Extract named entities from medical text
Gemma-3 OCR App
Process documents and answer queries
Search... using text for relevant documents
Spirit.AI
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.