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Last updated on
Jun 11, 2026
Understand what the model tagger is, and how Adobe Stock Contributors can use it when uploading content to Adobe Stock.
The model tagger is a tool that gathers additional information about the model in your content. Adobe Stock uses the tool's data to create filters and enhance search results, so your content is accurately surfaced to our customers.
Review common questions and answers to better understand the model tagger and its functionality.
The model trigger is an additional column in the Releases tab in the Uploaded Files section of the Adobe Stock Contributor Portal. We encourage Contributors to add age, gender identity, and ethnicity information to their model releases.
Follow these steps to fill out a model tagger:
Go to the Uploaded Files tab and select Releases. Then select the + icon next to a release.
Select Model or Property Release.
For model releases, make your selection for gender, age, and ethnicity at the time of the shoot.
Note
If a model has multiple ethnicities or gender identity categories, select all the values that best represent the model's identity.
If you don't know the age, gender, or ethnicity of the model, select Don't know.
When you have completed the form, select Save work.
The data captured in the age, gender, and ethnicity categories will be used to filter search results on Adobe Stock. It won't be used in the keyword search results. You should continue to add the relevant titles and keywords to your content as required.
Adobe Stock scanned a subset of releases from the last two years and automatically added ethnicity information to the model tagger.
Adobe recommends that you add gender and age information, as we plan to add additional filters in the future.
Releases created with Adobe Sign cannot be edited at this time.
The ethnicity and gender information captured in titles and keywords is used for search relevance. The data captured by the model tagger helps models identify themselves more specifically. It is used in filters to help buyers find assets based on the model's ethnic or gender identity.
You should be more accurate and specific. Data indicates how your models identify and represent themselves. If you have any doubts about a model's ethnicity or gender, it is recommended to leave the section blank or select Don’t know.
The model tagger includes an open-text field. You can type in a gender or ethnicity that isn't listed. We will review these options regularly and consider adding them to the filter in the future.
Your content titles and keywords determine its search visibility. The additional information provided in the model tagger will be used to refine search results.
An update is being made to allow you to add age, gender, and ethnicity information to your CSV files.
