Google Images lets you search for text that appears in images.



[ad_1]

Google has announced the introduction of new artificial intelligence features for the Google Lens platform, allowing users to search the Google Photos library. For the text that appears inside the images and screenshots.

According to the company, after a text search, users can copy it. Easily paste it into a note, document or form with the help of Google Lens.

The Google Photos search feature is a powerful tool that allows you to find certain objects, places, pets, events or even people with artificial intelligence, but is now smarter.

The Google Lens platform has a powerful OCR filter that can extract text from any image and is available in Google Photos.

The search function in the Google Image Library uses text and images copied and pasted using a technique known as Optical Character Recognition (OCR).

Topics related to what you are currently reading:

As mentioned in Tweet Google, the feature is launched from this month, with access to some users of Android devices and users of the Web version, without indication of access to the operating system (iOS).

Text search in Google Photos is ideal for documents, wireless network passwords, and anything the user has recorded while taking a picture.

As soon as the desired image appears after the search, Google advises users to click the button (Google Lens) to copy and paste the text easily.

With this feature, Google Photos automatically applies Optical Character Recognition (OCR) to all user images and can store metadata on text in the image.

The features appear to be related to a feature announced at the company's annual developer conference (Google I / O 2017), which will allow Google Lens to understand the context of the image.

With this feature, you can point your smartphone's camera to the router's password label and automatically connect to the wireless network through a program that reads the password and understands that you want to connect to the network you are using.

[ad_2]
Source link