This demo showcases Microsoft's TrOCR model
Extract PDFs and chat to get insights
Search documents and retrieve relevant chunks
Process documents and answer queries
Search documents for specific information using keywords
Answer questions based on provided text
Analyze PDFs and extract detailed text content
Search for similar text in documents
Extract text from PDF files
Search information in uploaded PDFs
Identify and extract key entities from text
Upload images for accurate English / Latin OCR
Find similar text segments based on your query
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.