SharePoint Syntex is an M365 Service that uses AI and Machine Learning Models to augment human experiences, content processing, and knowledge transformation. It does not necessitate the creation of any code, unlike other machine learning algorithms. It automates the organization, classification, and tagging of structured, unstructured, or semi-structured documents in document libraries.
SharePoint libraries have long been used as a file repository, but there was no way to organize, classify, sort, and group documents based on their content.
SharePoint Syntex solves the content extraction problem and implements classifications It not only aids in content extraction, but it can also generate the document based on the contents stored in the database.
For classification and extraction, SharePoint Syntex already includes two prebuilt models.
The document comprehension model is used to extract information from unstructured documents such as contracts or letters. These documents must contain text that can be recognized using a pattern or phrase. When this model is applied to a document library, the extracted information is stored in the columns that correspond to a content type. It can also create a new content type or use an existing one.
SharePoint Syntex creates a model in SharePoint document libraries using MS Power Platform AI builder form processing. Users can use the AI builder to create a model that extracts key-value pair or table data from unstructured documents such as forms, purchase orders, or invoices. The same information can be saved in the SharePoint list.
“import easyocr
reader = easyocr.Reader([‘en’])
Result = reader.readtext(‘abc.png’)
Print(result)”
OUTPUT: [([[272, 304], [446, 304], [446, 336], [272, 336]], ‘Hello World!!’, 0.737285318007567)]
This kind of output could be difficult for the non-developers to understand hence we can make it simple by passing the detail parameter as 0.
“import easyocr
reader = easyocr.Reader([‘en’])
Result = reader.readtext(‘abc.png’, detail=0)
Print(result)”
OUTPUT: [‘Hello World!!’]
The output is not showing the coordinates of the text as we pass the detail parameter as 0. It is only showing the required text. In this code ‘en’ is english language we can write any language in which we want to extract text.
OCR helps in Business to become more productive and cost-efficient by making easy to process documents and digitize them.
EasyOCR is the simplest and easiest way to implement Optical Character Recognition (OCR) with very few lines of code. Dealing with images becomes simple and quick. A large amount of text can be processed quickly. The information obtained through OCR is then more understandable and accurate. OCR is more accurate and takes less time than manual typing. It contributes to improved performance accuracy.
If you want to learn more about such topics or if you need software consulting, please contact us at info@ignatiuz.com.
