The new API enables you to identify species of terrestrial invertebrates, including insects and spiders from images using a machine-learning model. It is easy to use and we already love how it works. 💪
Identify over 6000 classes of insects
With the beta version of Insect.id API, you can identify more than 6387 classes of invertebrates with 48% TOP1 accuracy. The results are on the level of species, genus, family, and/or order based on the picture quality and taxa popularity. Covered species include the most common types of invertebrates such as butterflies, spiders, ants, dragonflies, etc.
Here is an overview of supported entities with the number of classes:
Many people have questions about the insects they encounter in their daily lives, whether it be for curiosity, protection of property, or health concerns. Insect.id can help them get their answers about the insects around them. Integrate Insect.id API into your solution and let’s help them together. For more info see our documenation.
In the response, you will receive the following information:
Suggestions with probabilities
Scientific (latin) and common names
Do you want to try how it works without the need to code? There is a non-public demo version. Drop us an email at firstname.lastname@example.org.
The Insect.id API is available through the MLAPI platform which makes it easy to use for those who already use the Plant.id or Plant.id Health Assessment APIs! To access it, you can use your account in the admin panel and request a new API key for Insect.id and assign your credits to this API key. You will have only a single billing but an overview and control over identifications made with different API keys.
The price for identification is one credit per identification, as in our other products.
Test the API for free! If you want to try the new API first, we will provide you with free credits for testing – let us know if you are interested at email@example.com. This option is available for both our current and new userers while the service is in beta version.
Our experience with the current products made us confident that we can develop other excellent nature-related image recognition APIs. Besides improving our current products, our focus in the following year will be birds, reptiles, rocks, animal tracks, … you name it! If you have any questions or would like to know more about a specific topic related to Insect.id API, please don’t hesitate to reach out to us at firstname.lastname@example.org.
Alongside this, we will collect feedback on the Insect.id API to identify areas for improvement. Keep up-to-date by subscribing to Insect.id newsletter on our product page!
Discover our journey with rock and mineral identification API. Read about the challenges faced and decisions made throughout the process. It has been a process of discovery and learning. The project is currently on hold but remains open for potential future development. Interested parties can contact the team at email@example.com for access to the internal demo or to share ideas for improvement.
The new API can identify 3,100 species of fungi (including lichens and related organisms such as slime molds) and includes enhanced information that has been carefully selected and prepared based on the needs of people interested in mushroom identification.
Plant.id is an API that identifies plant species and diseases from photos with machine learning. Send us images of your plant and get the possible suggestions with plenty of other information including representative images of the species.
The primary purpose of Plant.id is to provide a plant species and diseases identification API. To make it accessible to non-programmers, we created a web demo, which you can try at https://plant.id/ website.
Let us introduce you to the first production version of Plant.id Health Assessment. During the last year, we have been collecting feedback on the beta version of our plant disease identification API. Moreover, we have expanded our datasets and deepened our understanding of machine learning-powered plant disease identification.