If you are an iStock/Getty contributor, you know that uploading images and videos manually can be time-consuming. Visualmind.ai is excited to introduce a groundbreaking solution set to transform the way you upload your assets to iStock, enhancing the most common methods in use today. This guide will walk you through this innovative service and how it simplifies your workflow, saving you precious time.
This system fully supports Deepmeta, Qhero and ESP web uploading interface, but it’s also compatible with other softwares.
First of all, you’ll notice that in the home page 2 new icons are showing:
These two icons are for keywording on iStock/Getty only, since the keywording process is much different compared to other agencies. Just select the content you want to keyword. For tutorial purposes, I will use an AI generated image. Please note that iStock does not accept this kind of content.
You may notice that the keywording system is slightly different from a standard one because iStock is an agency that emphasizes disambiguation. Some terms, especially proper names of places, specific foods, and other unique items, are not present in their database, making it impossible to disambiguate them. It’s possible to choose to add mandatory keywords that require disambiguation, and others that, for the reasons mentioned above, will not be disambiguated.
Everything else remains the same as you are used to.
Once you upload your image, you will get this result:
As you can see, the generated keywords are entirely different from the usual ones; they are designed to be already disambiguated and recognized within the iStock/Getty system. Let’s try to see if Deepmeta recognizes the keywords. Please make sure to be using the latest version of the program. At this time, it’s the v3.25.0 build. Previous versions are disabled by ESP and do no work.
It works! Of course, the “Date Created” info is missing since it’s an AI generated image. As you can see, 40 keywords have been recognized and already disambiguated.
Please note that sometimes any system related to ESP may display less disambiguated keywords than the ones in the file, or zero keywords at all. This is completely normal and is a known issue not related to our service. In such cases, simply delete the batch and re-upload it; all keywords for the files should then appear.
Lets’ try with the ESP web uploader:
In this case as well, it works beautifully!
As a last test, let’s try Qhero.
Needless to say, it works perfect!
What about videos? I will try to upload a video of a man in a production facility. Unlike images, metadata cannot be embedded directly into videos, so we provide a CSV file compatible with the iStock/Getty system.
With Deepmeta, you have to put both the videos and the csv at the same time in your batch. Just select the videos and the csv file
And drag them into your Deepmeta batch:
And here you are! Your video has been correctly tagged.
If you use the ESP uploader, you must upload the csv file AFTER the videos. Simply click on Templates and “Apply from CSV”, and you’re done.
With Qhero it’s the same process. You first upload your content, and then you upload the CSV file. Once you reload the page, as suggested by Qhero itself, the result will be as this:
This groundbreaking service is set to revolutionize the entire experience of uploading to iStock/Getty, transforming what was once a lengthy, time-consuming, and tedious process into a streamlined, efficient, and user-friendly workflow. Say goodbye to the old challenges and welcome a faster, smarter way to manage your content!
Disclaimer: We are not affiliated, associated, or in any way officially connected with Getty Images, iStock, Deepmeta, Qhero or any companies and/or brands mentioned on our website or their subsidiaries or affiliates.
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