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Reviewed and published by trentmaziarz, March 22, 2026. Discovered and drafted by our automated research pipeline.

Pinterest uses computer vision — the ability of software to understand what's in a photo — to automatically cut objects out of images so users can combine them into collage-style mood boards. Since June 2025, advertisers can use a related tool called Auto-Collages, which automatically turns a product catalog into thousands of shoppable collage ads in minutes. A consumer-facing version called "Styled for you" launched in October 2025, mixing saved fashion Pins into AI-curated outfit ideas.

Details

The object cutout feature uses machine learning models trained to identify and isolate specific items within photographs (a process called image segmentation). Auto-Collages extend this to advertiser catalogs: the AI curates, cuts out, and groups products based on outfit combinations, user engagement history, and product similarity — eliminating manual creative production work. Pinterest reported that users save auto-collages at twice the rate of standard product Pins, and that collage-format Pins are roughly three times more likely to be saved than regular Pins overall.

Products affected

Pinterest appPinterest AdsPinterest Boards

Sources & Evidence

News Article

Pinterest experiments with new AI-powered personalized boards

TechCrunch·Oct 2025

https://techcrunch.com/2025/10/27/pinterest-experiments-with-new-ai-powered-personalized-boards/

News Article

Pinterest tests an AI feature that lets advertisers turn their catalogs into shoppable collages

TechCrunch·Jun 2025

https://techcrunch.com/2025/06/11/pinterest-tests-an-ai-feature-that-lets-advertisers-turn-their-catalogs-into-shoppable-collages/

News Article

Pinterest says its AI-powered collages are now more engaging than Pins

TechCrunch·May 2024

https://techcrunch.com/2024/05/01/pinterest-says-its-ai-powered-collages-are-now-more-engaging-than-pins/

Cite this record

Trace Foundation. (2026). Pinterest: Pinterest uses computer vision — the ability of software to understand what's in a photo — to automatically cut objects out of images so users can combine them into collage-style mood boards. Since June 2025, advertisers can use a related tool called Auto-Collages, which automatically turns a product catalog into thousands of shoppable collage ads in minutes. A consumer-facing version called "Styled for you" launched in October 2025, mixing saved fashion Pins into AI-curated outfit ideas (data as of 2026-03-22) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/5ee13b0c-e574-4f5b-8b64-8e3b0a3e1c79. Accessed October 13, 2026.

Stable link: https://www.aitrace.org/r/practice/5ee13b0c-e574-4f5b-8b64-8e3b0a3e1c79
Data as of: March 22, 2026
Last verified: March 23, 2026

How to cite AI Trace

Other practices by Pinterest

OtherPinterest maintains an internal program called Responsible AI that covers three areas: building inclusive AI features (the skin tone, body type, and hair pattern tools described in Practice 21), testing its AI systems for unfair bias (using internal tools that measure whether models perform equally well across different groups of users), and developing guidelines for the safe use of generative AI. The program includes red teaming — structured attempts to find flaws or harmful outputs in AI systems before they launch.OtherPinterest is testing AI-powered upgrades to its Boards feature that go beyond simple user-organized collections. In October 2025, Pinterest launched an experiment in the U.S. and Canada where the platform automatically generates outfit ideas from a user's saved fashion Pins ("Styled for you"), creates entirely AI-curated boards based on trending styles ("Boards made for you"), and suggests related products based on what a user has already saved ("Make It Yours").OtherPinterest uses AI to identify diverse skin tones, body types, and hair patterns across billions of images on its platform, then uses those signals to ensure that search results and recommendations reflect a broader range of human appearances. Users can filter fashion search results by body type ranges, skin tone ranges, and hair patterns. The body type technology launched in September 2023, with public user filters rolling out in March 2024; skin tone ranges have been available since 2018.

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