GOT - OCR (from : UCAS, Beijing)
Extract key entities from text queries
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Extract text from documents or images
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Extract text from images using OCR
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Find relevant text chunks from documents based on a query
Analyze PDFs and extract detailed text content
Extract text from document images
Process text to extract entities and details
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Convert images with text to searchable documents
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.