Observation and help for the identification of wild plants
Pros & Cons
Leverages a broad, global user community to improve identifications
Covers about 20,000 plant species with ongoing growth
Offers taxonomic filtering, multi-flora search, and taxon pages for deeper learning
Free access with rich plant information, mapping, and galleries
Species coverage (~20,000) is smaller than some rivals with broader catalogs (up to 360,000 species)
Accuracy depends on photo quality and user-provided information
Primarily focused on wild plants, with cultivated plants supported but not the main focus
About PlantNet Plant Identification
PlantNet Plant Identification is an education app developed by PlantNet.
Download Statistics
PlantNet Plant Identification has been downloaded 48 million times. In the last 30 days, the app was downloaded 200 thousand times. It is ranked #8 in education.
User Ratings
PlantNet Plant Identification is rated 4.50 out of 5 stars. The rating is based on 260 thousand ratings.
App Information
PlantNet Plant Identification is FREE to download. The APK download size is 68.87 MB. The latest version available is 3.26.7. The last update was on June 15, 2026.
Technical Requirements
PlantNet Plant Identification requires Android 7.0+ or higher. The app has a content rating of Low Maturity. The app has been available on Google Play January 2014.
Description
Pl@ntNet is an application that allows you to identify plants simply by photographing them with your smartphone. Very useful when you don't have a botanist on hand! Pl@ntNet is also a great citizen science project: all the plants you photograph are collected and analysed by scientists around the world to better understand the evolution of plant biodiversity and to better preserve it.
Pl@ntNet allows you to identify and better understand all kinds of plants living in nature: flowering plants, trees, grasses, conifers, ferns, vines, wild salads or cacti. Pl@ntNet can also identify a large number of cultivated plants (in parks and gardens) but this is not its primary purpose. We especially need Pl@ntNet’s users to inventory the wild plants, those that you can observe in nature of course but also those that grow on the sidewalks of our cities or in the middle of your vegetable garden!
The more visual information you give to Pl@ntNet about the plant you are observing, the more accurate the identification will be. There are indeed many plants that look alike from afar and it is sometimes small details that distinguish two species of the same genus. Flowers, fruits and leaves are the most characteristic organs of a species and it is them that should be photographed first. But any other detail can be useful, such as thorns, buds or hair on the stem. A photograph of the whole plant (or the tree if it is one!) is also very useful information, but it is often not sufficient to allow a reliable identification.
At present Pl@ntNet makes it possible to recognize about 20,000 species. We are still a long way from the 360,000 species living on earth, but Pl@ntNet is getting richer every day thanks to the contributions of the most experienced users among you. Don't be afraid to contribute yourself! Your observation will be reviewed by the community and may one day join the photo gallery illustrating the species in the application.
The new version of Pl@ntNet released in January 2019 includes many improvements and new features: - The ability to filter recognized species by genus or family. - The differentiated data revision that gives more weight to users who have demonstrated the most skills (in particular the number of species observed, validated by the community). - The re-identification of shared observations, whether yours or those of other users of the application. - The multi-flora identification that allows you to search for the photographed plant in all the flora of the application and not only in the one you have selected. Very useful when you are not sure what flora to look for. - The selection of your favorite floras to access them more quickly. - The navigation at different taxonomic levels in image galleries. - The mapping of your observations. - Links to many factsheets.
The web version of the application is also available at the following address: https://identify.plantnet.org/
Recent changes: Fresh update blooming! Explore observations more smoothly with new swipe navigation and improved lists. Bugs have been pruned, translations refined, and sorting improved. A healthier, greener app experience awaits!
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Comments on PlantNet Plant Identification for Android
★★★★★Linoleum Fleur· Jun 29, 2026
I find this app great. I'm using it to study yard weeds and plants in my community in interest of finding edible fora gables or to confirm species that might go by different names than used locally. I use a lot of resources to try and confirm a species before I try it. Definitely saved me from pulling a few plants unloved. Couldn't identify a plant from a drawing, but it tried to identify silk flowers. Could be a fun way to reference real lookalikes for art!
★★★★★Kent Weichmann· Jun 20, 2026
Very helpful in distinguishing weeds from garden plants.
★★★★★Deborah Ellis-Mckenzie· Jun 9, 2026
Easy to use and quick to receive suggestions for the genus of the plant. I'm not an expert botanist so still learning how to look at the suggestions for species. Really encourages knowledge of flowers, plants and trees.
★★★★★Rick White· Jun 23, 2026
I use this app often on our 20+ acres of forest land in NC. Love the simplistic use... snap a pic, upload, and get a quick, accurate, plant identification. It's a usable year round with bark, leaf, flower and more ID options.
★★★★★Judy Winchell· Jul 2, 2026
Has been helpful in identifying plants and trees from photos of leaves, flowers and/ or bark
★☆☆☆☆kinitow· Jul 2, 2026
I didn't get to the plant identification. It wanted account creation etc. etc. etc. ill just use AI instead.
★★☆☆☆Paul ARNAUD· Jul 5, 2026
Too complicated and outdated tech. The app should be able to automatically recognize the parts of the plant, and combine the informations of multiple pictures from multiple parts to improve the certainty of the match
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