We’ve made it easier for our TinEye users to search for images, on the fly. Using the TinEye plugin, you can right-click on any web image and immediately perform a reverse image search. Millions of people use this handy tool to make reverse image searching more efficient.
As you know, reverse searches on TinEye are free for non commercial use, and that means it is free for people like you and me who need to perform the occasional reverse image searches. But what if your use is a commercial use, say you work for a corporation, or are in need of high volume reverse searches and would still like to perform reverse image searches in a snap and without any integration? Well, we haven’t forgotten about you. We have a commercial TinEye plugin that is user friendly and can be used for high volume searching. Every TinEye API account gives you the option to perform searches via a our special TinEye plugin, for commercial use. No programming experience? No problem! This plugin works the same way the free TinEye plugin works. The difference is: you’re able to perform more searches!
Licensing our TinEye API for large volume reverse image searching is incredibly efficient, but that requires the ability to integrate an API. Today, our TinEye API is used by clients in a number of innovative ways including copyright compliance, profile image verification, image moderation, brand monitoring and more. The TinEye API can be easily integrated with any of our clients’ environments but the reverse searching can be done in two ways:
- via the API or,
- using our commercial plugin.
This blog post will focus on the simplest method of performing searches: via our commercial TinEye plugin. Below, you’ll see a step-by-step guide to performing high volume image searching via the TinEye API plugin.
1. Sign up
Learn more about high volume image searching on the TinEye API product page. We offer a range of high volume search bundles to fit your needs. Bundles expire after all your searches are exhausted, or after one year; whichever comes first. You can purchase a single search bundle to start and replenish your search account as necessary.
Pick a search bundle that fits your needs, then click Sign up and complete the sign up form.
Once you’ve completed the signup process, you will receive an email, prompting you to confirm your email address.
2. Confirm your email
Check your inbox for a confirmation email from TinEye. If you don’t see the email in your inbox, don’t fret! Sometimes these emails end up in your spam or junk folder. Click on the link provided, or copy and paste it into your browser to confirm your email address.
You will be asked to log in with the email and password that you just used to sign up.
Once you’re logged in, you’ll land on the Welcome page. There’s some useful information here to help get you started. You can get back to this page from wherever you are on the site by going to Welcome (but you need to be logged in!).
4. Buy Searches
Before you can start searching, you’ll need to to buy a search bundle (you have to be logged in for this). Transactions are handled via PayPal or credit cards. You can purchase search bundles via credit card even if you don’t have a PayPal account.
After you’re done, you’ll be directed back to your account overview page, which will show what you just purchased and keep you updated on how much of your bundle has been used.
5. Use the TinEye plugin
To install the browser plugin, go to the Welcome page and select the API plugin for your browser – we only offer plugins for Firefox and Chrome browsers at this time.
Note: The browser plugins for the regular, free version of TinEye found at TinEye.com/Plugin will not work with your TinEye API account. You must install the high volume version to perform searches that will work with your prepaid search bundle.
6. Upload an image or search by URL
You’re all set! Click on the Search tab to get started. Then simply search the way you would normally do on TinEye.com. Upload an image from your local drive to search for it, or point to a web image or web page by pasting the URL.
Happy image searching!
Great news for our TinEye API clients; we have recently rolled out lower pricing! We have been busy improving our infrastructure for large scale searching (more about that in another blog post) and we area happy to introduce our new TinEye API pricing.
Out with the old, and in with the new.
Previously, we offered two prepaid bundles:
- 5,000 searches for USD$300 ($0.06/search)
- 30,000 searches for USD$1,500 ($0.05/search)
The new pricing structure, offers our clients more flexible search bundles to meet their budget, and image search needs.
- 5,000 searches for USD$200 ($0.04/search)
- 10,000 searches for USD$300 ($0.03/search)
- 50,000 searches for USD$1,000 ($0.02/search)
- 1,000,000 searches for USD$10,000 ($0.01/search)
We introduced a large search bundle (1 million searches) which brings search fees to as little as $0.01 per search!
Thanks to all the Opera fans who got in touch after our TinEye site update. You will now be happy to know that we’ve updated the new TinEye site to work for our Opera Mini users!
Don’t forget: You may also use the Opera desktop browser search plugin to right click on any web image and search for it using TinEye.
If you have dropped by the new TinEye site, you will have noticed our new interface and since we are on an update binge, we thought our new fans could use a little TinEye tutorial. So let’s go! Here’s a brief guide, showing you how to use TinEye for all your reverse image search needs.
In this post, we will cover the essentials:
- Reverse image search using the website;
- Search via the plugin;
- Filter and sort search results;
- Compare results to the original image.
Searching using the TinEye website
You can perform reverse image searches on TinEye via three methods: Search by uploading an image, by URL and by using our drag and drop feature.
- To search by upload (i.e. search for an image on the device you’re using), just click the upload button (blue arrow in a circle) to locate the image that you would like to search for.
- To search by URL, you can insert a page URL or an image URL. Just paste the address of the page or image that you would like to search.
- This is an example of an image URL
- And this is an example of a page URL: https://commons.wikimedia.org/wiki/Commons:Featured_pictures/Astronomy
- You can also paste a whole domain URL: http://blog.tineye.com
- Please Note: If you search for a page or domain URL that contains more than one image, TinEye will ask you which image it is that you want to search for. Just click on the one you want.
Image search via the TinEye plugin
The TinEye plugin, lets you search for any web image, by simply right-clicking on it. This won’t work with images on your device – it will only work for images in a web browser.
Using the bookmarklet, you can grab all the images from a page and lets you search for any one of them by clicking on it.
Filter and sort image search results
TinEye’s search results page has made it easier for you to sort through potentially millions of images and filter search results to show you desired images.
Sorting TinEye Image Search results
- Best Match: This is the default sort option and shows the images that are closest to your original image, at the top of the page.
- Most Changed: This filters results to show the images that are the most transformed from your original image first (i.e. the images that have been edited the most heavily).
- Biggest Image: This shows you the highest-resolution version of the image in your search results first.
- Newest: This sort order displays the images most recently found by TinEye’s web-crawlers at the top.
- Oldest: This sort order shows the earliest crawled images, at the top of the page.
Filter your results to show image matches by image collection.
“Image Collections” are a grouping of images we crawled from the web. These collections of images are of interest to our users, because they help them identify the creator of an image, the copyright holder or simply tell them if an image they are searching for is a stock photograph.
Use the “Filter by collection” option to determine if an image is a stock photograph, or if versions of the images exist in major online image sources like Wikimedia, DeviantArt and more. Click on a collection, to filter the results.
Compare results to the original image
Our TinEye ‘Compare’ feature lets you quickly switch back and forth between your result image and the original image.
This highlights any differences between the two images, making changes easier to see. It’s especially useful if you’ve sorted results by ‘Most Changed’ and your image matches have been cropped, resized, skewed or Photoshopped.
Whew! Now, you know all you need, to be a champion TinEye user. Now get out there and put those skills to use!
Got something to say? We would love to hear your feedback.
Happy searching, folks!
Hello TinEye fans! If you have dropped by TinEye recently, you will have noticed our new TinEye design. We’ve been busy, quietly releasing a number of updates both for you and our corporate image recognition clients. Today, we would like to tell you about what we have done to make TinEye more useful to you, our fans.
- The biggest change we rolled out is speed: TinEye searches are now faster than ever. We are big fans of fast searches, and TinEye searches are now 58% faster. We cut our search time in more than half!
- We added the ability to filter search results by Image Collection, this has been one of our most requested features. Image Collections are a grouping of images we crawled from the web. These collections of images are of interest to our users, because they help them identify the creator of an image, the copyright holder or simply tell them if an image they are searching for is a stock photograph.
Use the “Filter by collection” option to quickly determine if an image is a stock photograph, or if versions of the images exist in major online image sources like Wikimedia, DeviantArt and more. Click on a collection, to filter the results. In the example below, we used the “Filter by collection” to show results from Wikimedia only. We would love to hear your feedback about this feature.
- With the new release, we didn’t forget about the developers, among you: With our new Developers’ section, we’ve grouped all our developer documentation in a single spot.
If you’re interested in taking a look under the hood; this is the one place, you’ll find full documentation for our APIs; including sample code, supported libraries, calls supported by the API.
- And of course, our new TinEye design is mobile and tablet friendly. Perform image searches, on the go!
- Lastly, our latest index update brings TinEye to 11.5 billion images (The exact number is 11,453,047,565 at the time of publishing).
TinEye fans, we hope that you wrap up your week with as much excitement as we have here in the TinEye HQ! We’ve reached 10 billion images and are gearing up for the next 10 billion. And thanks for joining us in this awesome adventure.
Happy searching and have an awesome weekend!
It’s always a great day in the TinEye HQ when we can settle team arguments using our own technology. You have probably heard about a photograph called “the dress”, that has polarized the web.
Well, our TinEye team is divided into 2 fiercely opposed camps: the blue and black versus the gold and white camp. So instead of arguing over colors (!) we settled this like grown ups: we asked our color extraction algorithm to tell us what it sees:
It is always “nice” to be reminded of how our TinEye fans feel when they spot one of their images used without credit. But what’s even more “fun”, is to see your own image featured in an article about image recognition with hardly a mention of one of the most integrated image recognition APIs in the world.
And forgetting TinEye in your research? A little less forgivable than borrowing our image.
I know what they say: imitation is the highest form of flattery, but what happened to research skills and attribution? We know our image appears as the first result of a Google Image search, but still!
Our office hand model is thrilled to get such wonderful exposure!
- TinEye’s reverse image search engine searches the web using an image and shows you where the image appears online. The search engine results page includes some useful information about your search; including sorting options, a compare feature and the TinEye crawl date.You can start by sorting your results:TinEye’s results page includes links to webpages, on which your search image appears. The compare feature allows you to compare results with the image used to perform the search. This is extremely useful when identifying cropped, resized, skewed or photoshopped images.Search results also include information about our crawl date. The TinEye crawl date is the date the image was found by TinEye’s web-crawlers. If you find two similar images with different crawl dates, this means that our web crawler found and indexed the images separately, on two different dates.For example, this photo was taken on July 21, 2008, but the oldest TinEye match is from October 31 2009.Sometimes, TinEye users are interested in finding out the first time an image has appeared on the web. However our TinEye crawl date is not really a perfect indicator of that, it really only is the date when our crawlers encountered the image on the web. The TinEye crawl date can however be very useful when you are doing image verification and find out that the news or event image you are verifying portrays a news event in 2014 while using a photograph that TinEye has crawled in 2012!Happy searching!
- TinEye color search fans rejoice! One of the most requested feature for our TinEye color search lab is the ability to not only search by color but also refine searches by using tags. And that’s what you are going to be able to do as of now: our new color search lab incorporates tags. You can now search 20 million creative commons images using both colors and tags.You can either start your search by color or a tag. Just remember that you can:
But say, that you have now mastered the art of color searching and would like to find images of flowers which contain both yellow and green? Done!Get your lab coat on and experiment by trying various color combinations for your searches.Click on the image in the grid to enlarge it. You can click on the title and that will take you to the source, on Flickr.How about some more interesting searches?Happy searching! This lab will likely become your new addiction!
- search for images containing up to five different colors
- adjust the percentage of colors you’d like to search for (you can for example, search for images that contain 20% red and 80% white)
- pick an exact color to search for by entering a hexadecimal code