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Pl@ntNet Review

Pl@ntNet is a citizen science project and application designed for plant identification from photographs, utilizing AI suggestions and community verification.

shipped Aug 21, 2026writingfree
Domain rating74
writing
Pl@ntNet — product screenshot

Why it matters

1Pl@ntNet covers 77,700 different plant species as of September 2025.
2The platform has surpassed 1.3 billion plant identifications as of September 2025.
3Pl@ntNet data has been cited in over 1,500 scientific publications since 2020.
4AI models are retrained monthly to incorporate new observations and community revisions.

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Pl@ntNet?

Pl@ntNet is an AI-powered citizen science tool developed by a consortium of French research organizations (CIRAD, INRAE, Inria, IRD, and Tela Botanica) that enables individuals and scientists to identify plant species from photographs. It serves as a global biodiversity observatory, leveraging artificial intelligence and a vast community of contributors to identify and inventory plant species.

Pl@ntNet allows users to identify plants by photographing them with a smartphone or uploading images via its web application. The core functionality relies on visual recognition software and machine learning, trained on a database of over a billion plant images. User-submitted photos and observations, particularly those with GPS coordinates, contribute to a global database utilized by scientists for biodiversity monitoring, tracking invasive species, and improving the application's recognition capabilities. The platform also offers a professional API for developers to integrate its plant recognition service into other applications, supporting single-species, multi-species survey, disease, and cultivated variety identification. Data from Pl@ntNet, shared via platforms like the Global Biodiversity Information Facility (GBIF), has been reused in over 1,500 scientific publications since 2020.

features

Key Features of Pl@ntNet

Pl@ntNet provides a comprehensive suite of features for plant identification and biodiversity monitoring, leveraging AI and community collaboration.

  • Plant identification from photographs using AI suggestions.
  • Community verification system for submitted plant identifications.
  • Collaborative botanical database with over 1.3 billion images.
  • Mobile application availability on iOS and Android platforms.
  • Online web version for image uploads and identification.
  • Professional API for integration into third-party applications.
  • Open Data access for scientific research and biodiversity studies.
  • Micro-projects for specialized plant identification initiatives.
  • GeoPl@ntNet mapping tool for exploring biodiversity data at 50x50 meter resolution.
  • Identification of cultivated varieties and plant diseases/pests via API (since 2025-12-02).

use cases

Who Should Use Pl@ntNet?

Pl@ntNet is designed for a diverse range of users, from amateur botanists to professional researchers, who require accurate plant identification and contribute to scientific knowledge.

  • Citizen Scientists: Individuals interested in identifying plants and contributing their observations to a global biodiversity database.
  • Botanists and Researchers: Scientists utilizing the platform's data for ecological studies, conservation biology, biogeography, and environmental modeling.
  • Educators and Students: Users seeking an educational tool for learning about plant species, their distribution, and scientific names.
  • Developers: Programmers and organizations requiring an API for integrating plant recognition services into their own applications.
  • Conservationists: Groups monitoring plant populations, tracking invasive species, and supporting plant conservation efforts.

how to use

How to Use Pl@ntNet

Pl@ntNet facilitates plant identification through a straightforward process, accessible via its mobile application or web interface.

  • 1Download the Pl@ntNet app from the App Store or Google Play, or visit the Pl@ntNet website.
  • 2Open the application and select the 'Identify' option.
  • 3Take a clear photograph of the plant part (leaf, flower, fruit, bark, habit) you wish to identify.
  • 4Upload the image; the AI will provide a list of potential species suggestions.
  • 5Review the suggestions and, if possible, confirm the correct identification based on additional information or community input.
  • 6Optionally, contribute your observation to the Pl@ntNet database, including GPS coordinates, to support citizen science.

pricing

Pl@ntNet Pricing & Plans

Pl@ntNet operates on a free model for its core application and citizen science contributions. A professional API is available with different credit consumption models.

  • Standard: Free for plant identification, access to the collaborative database, and participation in citizen science.
  • API Free Plan: Consumes 1 credit for requests returning an error (as of 2026-02-13), aimed at optimizing resources.
  • API Pro Plan: Offers additional features such as optional image returns for species list routes (as of 2026-03-03) and is not affected by error credit consumption.

Pros

  • +Completely free for unlimited plant identification and citizen science participation.
  • +Strong emphasis on citizen science, contributing to a global biodiversity database used in over 1,500 scientific publications.
  • +High accuracy in plant identification, continuously improved through monthly AI model retraining and community verification.
  • +Available on multiple platforms: iOS, Android, and a web application.
  • +Offers a professional API for developers to integrate plant recognition into other applications.
  • +Provides educational value with information accessible by species or geographical area.

Cons

  • −Lacks advanced plant care guides or disease diagnosis features found in some paid alternatives.
  • −Community verification, while beneficial, can sometimes lead to slower identification confirmation for less common species.
  • −The API's free plan now consumes credits for error requests, which may impact developers relying heavily on it.
  • −While comprehensive, its primary focus is on wild flora, with less emphasis on cultivated varieties compared to some commercial apps.

Similar Tools

Pl@ntNet vs Competitors

Pl@ntNet distinguishes itself within the plant identification market through its free, citizen science-driven model and specialized botanical focus.

1
PictureThis↗

It offers a very high accuracy rate for plant identification and includes features like disease diagnosis and care guides.

PictureThis often provides more detailed plant care information and disease identification than Pl@ntNet. However, it operates on a subscription model after a short free trial, unlike Pl@ntNet which is entirely free.

2
Seek by iNaturalist↗

Seek gamifies nature exploration by allowing users to earn badges for identifying different species, including plants, animals, and fungi.

Seek is completely free and excellent for general nature identification, not just plants, making it broader in scope. While it identifies plants well, its community verification aspect is less focused solely on botany compared to Pl@ntNet's dedicated plant community.

3
Google LensOn Stork

Google Lens is a general-purpose visual search tool that can identify a wide range of objects, including plants, by simply pointing your camera at them.

Google Lens is free and integrated into many Android devices, offering quick identification without a dedicated app download for some users. However, it lacks the specialized botanical database, community verification, and citizen science focus that Pl@ntNet provides.

4
PlantSnap↗

PlantSnap boasts a large database of plant species and offers identification for plants, flowers, trees, succulents, and mushrooms.

PlantSnap provides detailed information and a large database similar to Pl@ntNet, but it requires a subscription after a limited number of free identifications. Pl@ntNet remains free for unlimited use.

See every Pl@ntNet alternative, compared→

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