Scientists have released [1]DinoTracker , a free AI-powered app that [2]identifies dinosaur footprints by analyzing shape patterns rather than relying on potentially flawed historical labels. "When we find a dinosaur footprint, we try to do the Cinderella thing and find the foot that matches the slipper," said Prof Steve Brusatte, a co-author of the work. "But it's not so simple, because the shape of a dinosaur footprint depends not only on the shape of the dinosaur's foot but also the type of sand or mud it was walking through, and the motion of its foot." The Guardian reports:

> [...] Brusatte, [Dr Gregor Hartmann, the first author of the new research from Helmholtz-Zentrum in Germany] and colleagues fed their AI system with 2,000 unlabelled footprint silhouettes. The system then determined how similar or different the imprints were from each other by analysing a range of features it identified as meaningful. The researchers discovered these eight features reflected variations in the imprints' shapes, such as the spread of the toes, amount of ground contact and heel position. The team have turned the system into a free app called DinoTracker that allows users to upload the silhouette of a footprint, explore the seven other footprints most similar to it and manipulate the footprint to see how varying the eight features can affect which other footprints are deemed most similar. Hartmann said that at present experts had to double check if factors such as the material the footprints were made in, and their age, matched the scientific hypothesis, but the system clustered prints with those expected from classifications made by human experts about 90% of the time.

The findings have been [3]published in the journal PNAS .



[1] https://github.com/gregh83/DinoTracker

[2] https://www.theguardian.com/science/2026/jan/26/scientists-launch-ai-dinotracker-app-that-identifies-dinosaur-footprints

[3] https://www.pnas.org/doi/10.1073/pnas.2527222122