Azure AI Document Intelligence Reviews & Insights

We use Azure AI Document Intelligence mainly for Multimodal Gen AI building process, we use pdf document to take images embedding and text embedding for text to text and image based output generation model using OCR process. This is our main use case for our customer. Text embedding will be around the image. We easily take text embedding also image embedding also taken but text image embedding only can be taken through Azure AI Document Intelligence Optical Character Recognition and we do that using its api endpoint and key we take from Azure portal. Then we use that in our Python code, integrate, and get text image embedding. Text around image and text in image embedding helps to give accurate answers for the user based queries.

Azure AI Document Intelligence is mainly used in document data filling. If the template is the same, only the inside data content will be different. There, we use a text-based OCR process to fill the data in the same template with different, accurate data means the manual work will be reduced and time saved. And used in an image and text combined bot if the user query through text from the knowledge based document it brings the output which is used in information technology and services.