The GOT-OCR model is a cutting-edge OCR system with 580M parameters, designed to process a wide range of "characters." Equipped with a high-compression encoder and a long-context decoder, it excels in both scene and document-style images. The model supports multi-page and dynamic resolution OCR, enhancing its versatility.
GOT OCR supports many types of files, including
Discover the powerful features that make GOT OCR the best choice for text recognition.
Utilizes advanced encoding techniques for efficient data processing.
Ensures accurate text extraction from complex layouts.
Seamlessly handle documents with multiple pages.
Adapt to varying image resolutions for optimal results.
Recognize text in both scene images and traditional documents.
Extract text in a clean, easy-to-use format.
Hear from our satisfied users who have transformed their text recognition processes.
Find answers to common questions about our OCR system.