image search

Two 'image search' stories April 2013 - November 2013

Google Chrome iOS app updated w/ synced Autofill, long press for related image search

Jordan Kahn Nov 20 2013 - 10:10 am PT

Google today released an update to its Chrome app for iOS that it first announced last week and released for Android. As promised, Google has added a new synced Autofill feature that allows users to autofill forms in a few taps and also sign into their Google account on Mac or other iOS devices to sync the data.

Version 31 of Chrome for iOS also adds a new long press feature for images. When holding an image with a long press, Chrome will now automatically run a search for related images.

In addition, Google says the update brings stability and security enhancements.

What’s New in Version 31.0.1650.18

• Fast form completion with Autofill
Tired of filling out web forms with the same information time and time again? The Autofill feature lets you complete forms with just a few clicks. Sign in to sync this data from your computer to your iPhone or iPad and save even more typing.
• Long press on an image to search for related images
• Stability / security improvements and bug fixes

Review: CamFind for iPhone lets you search for anything with your camera

Michael Steeber Apr 19 2013 - 10:30 am PT

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Back in late 2010, Google brought Google Goggles (not to be confused with Google Glass) to the Google Search app for iPhone. At the time, it seemed like a great feature. You could take a photo of anything with your iPhone, and Google would instantly identify the object in the frame, returning relevant data about the photo.

That was 2010. You’d probably think that in the years following, Google would’ve continually updated Goggles, making the recognition more accurate and expanding its features. Well, you’d be wrong. In fact, Goggles functions entirely the same as it did in 2010, another fine example of Google’s continued dedication to their products.

Image Searcher, the developers behind a new app called CamFind, have seemingly stepped in where Google failed, creating a image-based search service that they claim is “four times more accurate than Google Goggles.” Let’s take a look at how it really performed.

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