API: machine learning plant identification service

Make your business bloom with plant and plant disease identification powered by machine learning. Integrate the API into your product or contact us for a custom solution. We use cutting-edge machine learning methods for training customized deep convolutional neural networks. With that, we can achieve the best possible results.

Best plant identification API on the market*

35 000+



identification TOP3 accuracy

2 seconds

max. identification time

* Hamlyn G Jones, What plant is that? Tests of automated image recognition apps for plant identification on plants from the British flora, AoB PLANTS, Volume 12, Issue 6, December 2020, plaa052,

Who is for?

Agriculture and gardening

  • Controlled environment
  • Smart gardening
  • Precise agriculture

Houseplant mobile apps

Environmental monitoring

  • Invasive species monitoring
  • Tree inventory
  • Biodiversity mapping

Integrate plant identification API into your mobile application

Submit photos of an unknown plant and we will send you several species suggestions sorted by probability. Besides the scientific name, you will get common names, similar images, taxonomy, and much more.

Our services

plant.id_health_assessment Health Assessment
Identify plant diseases API
REST API for plant identification Sensor
Data for precise agriculture

Our happy clients

We are using to help our users identify their plants in our iOS app, and it’s been a great service both for us but espe-cially for our users – who are amazed. The accuracy and reliability of is awe-some and the help and support you get from the team is amazing.

Jesper Svennon, Planta

I’ve been working with the team for at least 3 years. I won’t talk about techno-logy, everything works as it should and our multiple years cooperation proves that. But more important are the people who stay be-hind it. Always cooperative, reliable, want-ing to help their clients and supporting them in any cases.

Aleksei Metelkin, Plantr

We’ve been using to support our plant identification app and, which served more than one million plant lovers and tens of millions of plant identifi-cations over the past 3 years. is accurate, fast, and easy to use. We really appreciate the business opportunity with them!

Chen Li, Plantstory

2024 Roadmap

  • ✓ March 2024: Model Update. We will enhance the model by adding new plant species, increasing the identification accuracy and expanding the knowledge base with more information. See blog post.
  • ✓ April 2024: Customized Plant Lists. We will create lists of particular plants, defined by geography (e.g., North America or Europe) or plant types (e.g., houseplants, garden plants, or trees). See blog post.
  • ✓ May 2024: Meets LLMs. We will launch a beta version of that integrates large language models (LLMs), for example, to provide the option to ask questions to refine identification results. See blog post.
  • June 2024: Symptom Recognition in Health Assessment: We will enable the users to locate the symptoms of plant diseases using object detection. This feature will help users to confirm the suggested diagnosis.