Read Text With Azure AI Vision Service

By Ashwin Venugopal -

 





Introduction

Azure's AI Vision service uses algorithms to process images and return information. Let's say you are tasked with transferring the text from thousands of photos to a computer database. The text in the scanned photos is multilingual and arranged in several formats.
How do you ensure that the data is input accurately while finishing the project in a fair amount of time?

Every day, businesses all across the world deal with similar situations. The project would be difficult to finish without AI services, particularly if its scope changed.

We can use Optical Character Recognition (OCR) and handle this project as an Azure AI Vision scenario using AI services. OCR enables you to extract text from documents, including handwritten or unstructured papers, as well as from photographs, such as pictures of products and street signs. Machine learning models must be trained to address a wide range of use cases in order to create an automated AI solution. 

The Azure AI Vision service delivers data to safe storage and provides access to sophisticated image processing techniques.

Explore Azure AI Vision Options For Reading Text

Azure AI provides two different features that read text from documents and images, one in the Azure AI Vision Service, the other in Azure AI Document Intelligence :

Image Analysis Optical character recognition (OCR)-

  • Use this feature for general, unstructured documents with smaller amount of text, or images that contain text.

  • Results are returned immediately (synchronous) from a single API call.

  • Has functionality for analyzing images past extracting text, including object detection, describing or categorizing an image, generating smart-cropped thumbnails and more.

  • Examples include: street signs, handwritten notes, and store signs.

Document Intelligence-

  • Use this service to read small to large volumes of text from images and PDF documents.

  • This service uses context and structure of the document to improve accuracy.

  • The initial function call returns an asynchronous operation ID, which must be used in a subsequent call to retrieve the results.

  • Examples include: receipts, articles, and invoices.

You can access both technologies via the REST API or a client library.

Conclusion

We have successfully learnt about Azure AI Vision options for reading text. 




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