Google Photos now automatically detects the text of a fotorafía

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Google Photos now automatically detects the text of a fotorafía

In this house Google Photos it is a service very used. You are able to upload photos of unlimited calls with a minimum compression, and have them available on all devices with Google account is a huge advantage over other apps of gallery. As we just check, the application and website have been updated with two new features small, but more interesting.

It is, on the one hand, of a new integration with Google Lens that allows us to automatically copy the text that is detected in the images. On the other hand, the web page now we will show from where it has been uploaded to the device, tiny information, but relevant to know the origin of the photographs.


Text selection auto

Google Photos

The application of Google Photos for Android takes time, integrated with Google Lens. With this engine, we can analyze the content of the photo to try to get information about the same. With the new update via the Google server Pictures the app now it is able to detect the text automatically and shows us a tip to copy the text directly.

Just open a photo to Google Photos to automatically detect if there is text or not for copy

This feature is quite useful since just open the photo to show us the tipwe do not need to do anything more. If we copy text from the image will open Google Lens, where we can either copy the text in the clipboard, search results on Google or send that text directly to the translator.

Image 2020 03 23 18 46 25

With regard to the web page, Google Photos shows now from where you’ve uploaded the photo. Thus, by referring to the information of the same we know if we have uploaded from iOS, from Android or from PC.

The update it is being deployed via serverso if you do not yet have available these functions you should not more than to wait and make sure you have the updated application.


The news

Google Photos now automatically detects the text of a fotorafía

it was originally published in

Xataka Android

by
Ricardo Aguilar

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