This demo showcases Microsoft's TrOCR model
Convert images with text to searchable documents
Extract text from multilingual invoices
Extract PDFs and chat to get insights
Analyze PDFs and extract detailed text content
Find similar text segments based on your query
OCR Tool for the 1853 Archive Site
Upload images for accurate English / Latin OCR
Parse and extract information from documents
Search for similar text in documents
Traditional OCR 1.0 on PDF/image files returning text/PDF
Using Paddleocr to extract information from billing receipt
Process text to extract entities and details
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.