GOT - OCR (from : UCAS, Beijing)
Upload images for accurate English / Latin OCR
Extract text from images using OCR
Parse and extract information from documents
A token classification model identifies and labels specific
Convert images with text to searchable documents
Extract handwritten text from images
Extract key entities from text queries
Analyze legal PDFs and answer questions
Search documents and retrieve relevant chunks
Extract information from documents by asking questions
Search documents for specific information using keywords
Extract text from documents or images
Tonic's GOT OCR is an advanced optical character recognition tool designed to extract text from scanned documents and images. Developed by UCAS (University of Chinese Academy of Sciences) in Beijing, this OCR solution is tailored for various OCR tasks, making it a versatile tool for users looking to digitize printed or handwritten content efficiently.
• Multi-language support: Extract text from documents in multiple languages.
• High accuracy: Delivers precise text recognition even from low-quality images.
• Layout preservation: Maintains the original document's formatting and structure.
• Versatile input: Supports scanned documents,photos, and PDFs.
• Advanced OCR capabilities: Handles complex layouts, tables, and fonts.
What languages does Tonic's GOT OCR support?
Tonic's GOT OCR supports a wide range of languages, including English, Chinese, and many others, making it suitable for global users.
Can I use Tonic's GOT OCR for handwritten documents?
Yes, the tool is capable of recognizing handwriting in images, though accuracy may vary depending on the quality of the input.
What file formats does Tonic's GOT OCR support?
The tool supports common formats like PDF, JPG, PNG, and BMP, ensuring compatibility with most document types.