GOT - OCR (from : UCAS, Beijing)
Extract text from images using OCR
Search... using text for relevant documents
Find relevant text chunks from documents based on queries
Upload images for accurate English / Latin OCR
Process and extract text from images
Analyze scanned documents to detect and label content
Using Paddleocr to extract information from billing receipt
Find relevant passages in documents using semantic search
Search and summarize documents with natural language queries
Employs Mistral OCR for transcribing historical data
Search documents using text queries
Search documents for specific information using keywords
Tonic's GOT OCR is a powerful tool developed by UCAS (Beijing) to extract text from images using advanced OCR (Optical Character Recognition) technology. It is specifically designed to handle various OCR tasks efficiently, making it an essential solution for users needing to convert scanned documents or images into editable text.
• Advanced OCR Technology: Built with cutting-edge OCR capabilities to accurately extract text from images.
• Multiple OCR Tasks: Supports a variety of OCR-related tasks to cater to different user needs.
• Developed by UCAS: Backed by the expertise of UCAS, Beijing, ensuring high-quality performance and reliability.
What file formats does Tonic's GOT OCR support?
Tonic's GOT OCR supports common image formats such as JPG, PNG, and BMP.
Can Tonic's GOT OCR handle handwritten text?
While it specializes in scanned documents, it may have limited support for handwritten text depending on the quality and clarity of the input.
Is Tonic's GOT OCR available in multiple languages?
Yes, it supports multiple languages, making it a versatile tool for global users.