GOT - OCR (from : UCAS, Beijing)
Analyze scanned documents to detect and label content
Extract named entities from medical text
Gemma-3 OCR App
Extract PDFs and chat to get insights
Find similar text segments based on your query
Find relevant text chunks from documents based on queries
Extract text from document images
Traditional OCR 1.0 on PDF/image files returning text/PDF
Query deep learning documents to get answers
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Extract text from PDF and answer questions
Search and summarize documents with natural language queries
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.