On-device identification
The bundled model processes the selected photo locally instead of requiring a cloud identification request.
Offline plant identifier app
GrowBook includes an offline plant identifier for Android. Its TensorFlow Lite model runs on the device and returns several likely matches with confidence scores, so identification can work without a network connection and the photo does not need to be uploaded for classification.

Identifying common houseplants where mobile data is unavailable
People who prefer on-device photo processing
Users who want to add an identified plant directly to a care tracker
The bundled model processes the selected photo locally instead of requiring a cloud identification request.
Results are presented as likely candidates with confidence scores, not as an infallible verdict.
Use a result as a starting point, verify it, and add the plant to your collection.
Use a well-lit image with the leaf shape and overall plant visible.
Compare the suggested plants, confidence scores, and visible characteristics.
Confirm with multiple traits or an expert, especially before eating, treating, or assessing pet safety.
Yes. The identification model is bundled with the Android app and runs on the device after it has been installed.
The classification step uses an on-device TensorFlow Lite model, so the photo does not need to be sent to a plant-identification cloud API.
No plant identification result should be treated as certain from one image. GrowBook shows likely matches and confidence scores; verify important identifications using several plant characteristics or an expert source.
Feature details checked against the public app listing. Last reviewed 2026-08-30.
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