What is an outcome of using the Read API for text extraction?

The Read API in Azure's Computer Vision service is designed to extract text from both printed and handwritten documents. This capability allows for a wide range of applications such as processing invoices, forms, and even analyzing handwritten notes.

Utilizing this API means that you can automate the extraction of valuable information from various types of documents without needing to pre-process or distinguish between printed versus handwritten text. This versatility is particularly important for applications requiring high accessibility, such as scans of archives or user-generated content. The API's ability to recognize both text types makes it a powerful tool for enhancing productivity and accuracy in document management and processing tasks.

Other options limit the scope of the Read API's functionality. The focus solely on printed text would exclude essential use cases where handwritten text is prevalent. The emphasis on numeric data suggests a restriction that does not reflect the Read API's broader capabilities. Requiring manual input would negate the automation benefits that the API provides, which is a significant advantage of using this technology. Thus, the accurate representation of the Read API’s capabilities is that it handles both printed and handwritten text effectively.