GOT - OCR (from : UCAS, Beijing)
Extract handwritten text from images
Gemma-3 OCR App
Process and extract text from images
AI powered Document Processing app
Extract key entities from text queries
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Search information in uploaded PDFs
Search... using text for relevant documents
Upload and analyze documents for text extraction and Q&A
Extract text from images using OCR
Upload and query documents for information extraction
Next-generation reasoning model that runs locally in-browser
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.