Hello everyone, I am jonssonyan, today I would like to introduce a powerful OCR tool - Umi-OCR.
The following is its open source address
Umi-OCR GitHub：https://github.com/hiroi-sora/Umi-OCR
OCR (Optical Character Recognition, Optical Character Recognition) refers to the process of using optical recognition technology to convert text, numbers and other information in paper documents into electronic text. Umi-OCR is an OCR tool based on deep learning. Its main features are high accuracy, fast speed, and support for multi-language recognition.
First, the accuracy of Umi-OCR is very high. It uses deep learning technology and uses a large amount of sample data when training the model to better recognize characters and numbers in text. Compared with traditional OCR tools, Umi-OCR also performs well when dealing with low-quality images and distorted images.
Second, Umi-OCR is also very fast. It adopts multi-thread processing technology, which can complete the recognition and conversion of a large number of documents in a short time. This feature is very attractive for businesses and individual users who need to efficiently process a large number of documents.
Finally, Umi-OCR supports the recognition of multiple languages. In addition to supporting common Chinese and English recognition, it also supports the recognition of multiple European and Asian languages, which can meet the needs of different users.
In general, Umi-OCR is a very good OCR tool. It has high accuracy, fast speed, supports multi-language recognition, and can meet various needs of users. Whether it is an enterprise that needs to process a large number of documents, or an individual user who needs to convert paper documents into electronic text, you can consider using Umi-OCR. If you haven't tried Umi-OCR, I highly recommend you to try it.
Well, this is the Umi-OCR I introduced to you today. I hope this article can be helpful to everyone. Thank you for reading, I am jonssonyan, see you in the next issue!