This demo showcases Microsoft's TrOCR model
Extract text from documents or images
Extract named entities from text
Analyze PDFs and extract detailed text content
Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract text from document images
Analyze scanned documents to detect and label content
Process documents and answer queries
Extract text from images using OCR
Perform OCR, translate, and answer questions from documents
Extract key entities from text queries
Visual RAG Tool
Extract named entities from medical text
Handwritten OCRProcessor is a powerful tool designed to extract text from scanned documents, particularly handwritten content. This demo utilizes Microsoft's TrOCR model, which is highly effective in recognizing and converting handwritten text into editable digital format.
• Handwritten Text Recognition: Accurately extracts text from handwritten documents.
• Multi-Language Support: Processes text in multiple languages, making it versatile for global users.
• High Accuracy: Leveraging advanced AI models to deliver precise text recognition.
• Integration with Azure Services: Compatible with Azure Cognitive Services for enhanced functionality.
What types of documents does Handwritten OCRProcessor support?
Handwritten OCRProcessor primarily supports scanned images and photos of handwritten documents.
Is Handwritten OCRProcessor free to use?
The demo version is free, but access to advanced features may require a paid subscription.
Can Handwritten OCRProcessor work with non-English text?
Yes, it supports multiple languages, but accuracy may vary based on the quality of the input and language complexity.