We have seen some massive tech upgrades and algorithm updates for search engines among which the visual search image tools are quite noticeable. Google with leading the business to search by image features have been imminent with the introduction of the newest visual search tools. With the purpose to not only useful for users to image search experience but it also enables them to receive information regarding the images users are searching, uploading, and downloading.
Google introduced one of its latest visual search tool, Google Lens, just two years earlier in 2017. The fundamental purpose of the app was to enable users to obtain information about the pictures they will take from their device. Google Len’s image search result is said to be the best in the online market out there, among other visual search tools. Google had scheduled to announce and initiate Google Lens feature in its Google image search on its twentieth anniversary.
The inclusion of Lens feature in Google image search intents to deliver broader functionalities into Google Images to make it a consistent and flexible and accurate image search engine for its users.
Reverse image search is handy and one image search engine does it all when it comes to:
The reverse lookup tool enables the user to identify a person with the help of facial recognition, a specified place, animals, range of products, etc. in a photo. Once a user uploads a picture in a tool to search by image, it will provide the returning information about the items it can identify in that photo.
Users can locate any product by uploading its image on the reverse image search tool. It will not only provide the date, specifications of that particular item but it can also deliver reviews from other users who have used the product once the tool will lead to the product’s online shop page.
It is still a common and unethical practice to not give credit to the original owner of a visual. This non-referencing application is more common on the social media platform. Therefore, if you want to use an image that you don’t own and want to credit the original owner or even to ask permission for the usage of their image, the reverse image search tool can quickly identify and provide information of that content creator so you can adequately accredit the image’s owner according to ethical web practices.
What if you put diligent efforts in capturing the photos for your online campaign but someone sneaky copies and uses them without even accrediting you? Here the reverse photo search comes in handy. Perform an image search on either desktop or on the phone to find out who has been using your visuals without even sourcing your name. On the other hand, it is also useful as you can avoid violating copyright using reverse photo search.
The reverse image search tool does more than just a visual tracking tool. Once you find out who has used your piece of visual or photograph, you can easily ask them to quote you by crediting a backlink. This positive backlink will enable to boost your webpage on search engine rankings. Efficiently optimize the images for web usage and it will help you to rank higher.
New Google ranking algorithm and tags for Reverse Image Search features
With Google updating the image search algorithms, it will also affect the search engine rankings of websites. The new algorithm will consider several factors such as image location, size and distinction, and the credibility of the hosting site.
Image Search Engine would help inhibit users from finding images that are non-relatable to the search they have made. It will also help them to choose the most credible option where an image is placed. This will also help the website owners as it will attribute those with trustworthy websites with quality content and as a result, their search rankings will be high.
Image tags will also help the e-commerce sites, which allows the marketing agencies to identify what products are more searched by the users. With such advancements in image search engine features, Google would consider existing searches in user’s next search queries to enhance the existing experience of its users.