AI TraceTrace Foundation, Inc.
Confirmed AI Use
9 sources cited·Reviewed and published by 1 editor·View edit history

AI Usage at a Glance

1Moderation
2Recommendation
1Data Analysis
1Productivity

Timeline

Jan 1, 2020

Productivity

Practice documented: Unsplash uses a third-party AI tagging service (Imagga's Auto-Tagging API) to automatically generate descriptive keywords and category labels for every photo submitted to the platform. This applies to all uploaded content globally.

Practice DocumentedView practice →

Jan 1, 2021

Recommendation

Practice documented: Unsplash deployed Visual Search, a machine-learning-powered feature that lets any user upload or paste an image to find visually similar photos in the Unsplash library. It launched in January 2021 and is available to all users at no charge.

Practice DocumentedView practice →

May 1, 2021

Data Analysis

Practice documented: Unsplash deployed a machine learning-based visual matching system that scans the public web to identify where contributor photos have been used, then surfaces that information to photographers in a 'Uses' dashboard. This feature launched in May 2021.

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Jan 1, 2022

Recommendation

Practice documented: Unsplash uses advanced image recognition technology to power keyword-based search across its library, with the Unsplash API officially described as being powered by 'tens of millions of community generated tags and advanced image recognition.' This is available to all users and API consumers globally.

Practice DocumentedView practice →

Jan 1, 2024

Moderation

Practice documented: Unsplash uses a content filtering system built into its API that automatically screens search results to prevent images violating submission guidelines—such as nudity or violence—from being returned to API consumers. This is active by default for all API applications.

Practice DocumentedView practice →

Jan 1, 2024

Recommendation

New evidence: Unsplash API Documentation | Free HD Photo API | Unsplash

Evidence AddedView practice →

Recent activity

Content ModerationVerified

Unsplash uses a content filtering system built into its API that automatically screens search results to prevent images violating submission guidelines—such as nudity or violence—from being returned to API consumers. This is active by default for all API applications.

The Unsplash API includes a content_filter parameter that defaults to 'low', guaranteeing that images flagged as violating Unsplash's submission guidelines are excluded from API search results. A stricter 'high' setting can be applied by API developers to further remove content unsuitable for younger audiences. The API documentation notes it cannot guarantee removal of all potentially unsuitable content, indicating human review or imperfect automated detection. Unsplash's submission guidelines explicitly prohibit AI-generated images and content such as nudity.

Unsplash API
2 sources · Unsplash · Jan 1, 2024Read full entry →
Recommendation SystemVerified

Unsplash uses advanced image recognition technology to power keyword-based search across its library, with the Unsplash API officially described as being powered by 'tens of millions of community generated tags and advanced image recognition.' This is available to all users and API consumers globally.

Unsplash's search API documentation describes the search capability as powered by both community-generated keyword tags and advanced image recognition. This recognition layer supplements manual and auto-generated tags to improve the relevance of search results. The system accepts text keyword queries as input and returns ranked photo results. Unsplash also confirmed in a 2021 year-in-review post that it tweaked its search algorithm to prioritize more diverse results.

Unsplash (web platform)Unsplash API
2 sources · Unsplash · Jan 1, 2024Read full entry →
Data AnalysisVerified

Unsplash deployed a machine learning-based visual matching system that scans the public web to identify where contributor photos have been used, then surfaces that information to photographers in a 'Uses' dashboard. This feature launched in May 2021.

Unsplash built its own visual matching technology powered by machine learning, combined with a custom web crawler, to identify public placements of Unsplash photos across the internet. The system takes Unsplash images as reference and matches them against indexed web pages, producing a list of notable public URLs where each photo appears. This information is displayed to photographers in their stats area under a section called 'Uses'.

Unsplash (contributor dashboard)
1 source · Unsplash Blog · May 1, 2021Read full entry →

All practices by category

5 practices

Cite this record

Trace Foundation. (2026). Unsplash: documented AI practices (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/company/b052eebe-8780-4358-a960-8e827b07dae2. Accessed September 7, 2026.

Stable link
https://www.aitrace.org/r/company/b052eebe-8780-4358-a960-8e827b07dae2
Data as of
May 11, 2026
Last verified
Not recorded

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