Geometric morphometrics on the phone, offline.
A free, open-source Android app. It finds the specimen in a photo, places the landmarks with AI, lets you correct them, and runs the shape analysis on the device. No computer and no internet needed.
Photograph flowers in the field, or load a batch of photos from the gallery.
A detector finds the flower and a pose model places 32 landmarks. Both models run on the phone.
Each landmark is colored by the model's confidence. Zoom in and drag any point before the analysis.
Procrustes superimposition and PCA run on the device: morphospace, deformation wireframes, and CSV files you can open in R.
Developed and tested on an OPPO Reno4 Z 5G. The models are small on purpose, so the app runs on affordable, older Android phones.






32 AI landmarks on one flower
Raw AI landmarks, with no human correction, compared with the reference software and with expert manual digitization.
Coming next
Theia 2.0 is in development. The app loads model packs, so the same workflow runs on organisms other than Erysimum flowers. A pack holds the two models and the landmark scheme for one structure. You install it on the phone from a file, and the app checks it with a self-test before it uses it.
A browser tool to place landmarks on your photographs. The photographs stay on your computer: the page reads them from a folder and uploads nothing. When you are done, you export a landmark file.
A pipeline turns annotated photographs into a model for the app, in four steps.
Your photographs and landmarks are checked for duplicates, landmarks outside the frame and shapes far from the average, which often means two landmarks were swapped. Whole groups, such as populations, are set aside for the final check. You look at everything before training starts.
One model learns to find the structure in the photograph. A second one learns to place your landmarks on it.
The model places the landmarks on the photographs set aside. Procrustes, PCA and a Procrustes ANOVA run on your landmarks and on the model's, and the report says whether both lead to the same biological conclusions, as in the paper.
Both models, the landmark scheme and a self-test go into one file that you install in the Theia app. From then on it works offline, in the field.
If your group works with landmarks on another organism and would like to try Theia 2.0, write to us.
Write to uscontact@crisopeya.ioAndroid only. Write to us from your email address and we will reply with the app.
Cristobal Bragagnolo, Andrés Ferreira-Rodríguez, Mohamed Abdelaziz, A. Jesús Muñoz-Pajares
BioChange Network, Department of Genetics, University of Granada, Spain
Bragagnolo, C., Ferreira-Rodríguez, A., Abdelaziz, M., & Muñoz-Pajares, A. J. (2026). Theia: An end-to-end edge-AI mobile framework for high-throughput field phenotyping and on-device geometric morphometrics. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.70416