This demo showcases Microsoft's TrOCR model
Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract text from images using OCR
Search and summarize documents with natural language queries
Extract text from images with OCR
Process text to extract entities and details
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Identify and extract key entities from text
Extract text from images using OCR
Analyze documents to extract and structure text
Search documents and retrieve relevant chunks
Find similar sentences in text using search query
Extract PDFs and chat to get insights
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.