If you've ever stood in front of a strange plant or bug and thought,I wish someone would tell me what this is right now."You're in the right place. These days you don't need to carry around field guides or be a botanist or zoologist to name what you see when you go out into the countryside or walk around the city."
Thanks to tools like Google Photos with Google Lens, a good number of specialized apps, You can identify plants, animals, and fungi simply by pointing your mobile phone's camera at them.However, it's important to know how all this works internally, what it can actually do, and where its limits are, so as not to get any surprises or make a mistake.
What is Google Lens and how does it integrate with Google Photos?
Google Lens is a computer vision-based technology from Google that is integrated into several applications, including Google Photos; It allows you to "understand" what appears in your images and gives you useful information about it.It's not just a simple digital magnifying glass: it's capable of recognizing text, objects, places, products, and, of course, living beings.
When you open a photo in Google Photos and tap the Lens icon, The system analyzes the image content and tries to automatically detect the relevant parts.If it recognizes a plant, an animal, or a barcode, for example, it can highlight that area and provide you with specific results related to what it sees.
In addition to identifying species, Lens is designed to make your life easier: It can translate signs, copy long paragraphs instantly, or extract data from a business card.All of this can be done from a stored image or even using the camera in real time if you use it from the Google app, your Android camera, or system shortcuts.
On many Android phones, that's all you need to do. Press and hold the home button or use the assistant gesture and circle what you want to search for on the screenBy doing so, the system launches Google Lens over that specific area and shows you visual matches, which may include plants, dogs, birds or any other recognizable element.
How Google Lens works to identify plants and animals
Behind what seems like magic lies a rather sophisticated combination of algorithms. When you use Lens on a photo, The tool compares the objects that appear in the image with gigantic collections of photos existing on the webHe doesn't just look at "the overall picture," but at color patterns, shapes, edges, and other visual elements.
The system generates a series of possible matches and assigns each one a probability based on its visual similarity and other relevant factorsFor example, you can assess which photos are best tagged, which pages containing them are most reliable, and what metadata accompanies those images (title, surrounding text, file name, etc.).
Imagine you take a picture of a dog: Lens can estimate that there is a 95% chance it is a German Shepherd and a 5% chance it is a CorgiIn such a case, it will usually only show you the German Shepherd option because it considers it to be the visually closest answer, without bothering you with less likely possibilities.
However, if the photo is more confusing or there are several possible species, Lens can return a list of suggested results ordered by relevance.This is very noticeable in plants with similar flowers or in very similar insects, where you will see several alternatives that, at first glance, look very similar to your photo.
Another key detail is that Google Lens It not only looks for "forms", it also relies on text and contextIf the image shows a book title, a product label, or a barcode, it can bypass classic visual recognition and directly show you the product page or the Google results page with all the related information.
The influence of location and context on the results
If you allow it, Lens takes your approximate location into account to refine identifications.This is especially useful with monuments, shops, and points of interest, but it can also help with species that only live in certain areas.
For example, if you're in Paris and point your camera at a huge metal structure, It's quite obvious that Lens will suggest the Eiffel Tower and not some similar structure built in another country.Similarly, if you focus on a wild plant in the Iberian Peninsula, it is more likely to prioritize species common in that region over others that only exist in Asia or America.
This use of context doesn't mean I'll always be right, but It greatly reduces the chances of completely irrelevant results appearing.Even so, in flora and fauna there are cases where introduced species, those cultivated in gardens or kept in captivity can confuse the algorithms.
In the more specialized apps for naturalists, such as iNaturalist's Seek, the geographical component is even more integratedThe app cross-references your location with records of previous observations to narrow the list of candidates to what you are actually likely to find in your area.
Useful results, content security, and absence of commercial influence
One of the goals of Google Lens is show results that are truly useful and relevant to what you have photographedAlthough the image database comes from across the web, the results you see go through filters and ranking systems similar to those of Google Search.
The algorithms that determine what results you see on Lens They are not directly conditioned by advertisements or commercial agreementsIn other words, when you search for a plant, a promoted result shouldn't slip through just because someone paid for it, but rather because it's considered the best match according to Google's ranking system or other integrated products like Shopping or Maps.
In addition, Google applies security mechanisms such as SafeSearch This is to try to hide or downplay explicit or inappropriate content when it's unrelated to your search. This is important when Lens returns visually similar results that, due to their subject matter, might not be suitable.
Although all of this greatly improves the user experience, We must not confuse the relevance of the results with the scientific accuracy in the identification of a speciesSometimes the best-ranked content or the most popular photo is not the one with the correct tag from a taxonomic point of view.
The limitations of Google Lens in identifying living things
Lens's ability to recognize plants, animals, and fungi might leave you speechless, but It is not advisable to blindly trust the first name that appearsOften the match is only approximate, or it gets the genus right but the species wrong.
When Lens gives you one or more names, The most prudent course of action is to initiate a more in-depth search to confirm the identification.This involves reading descriptions on other websites, comparing several reference photos, and checking specific details (leaf shape, flower type, color pattern, etc.) that may go unnoticed at first glance.
A simple trick is to do Several photos of the same specimen, from different angles and focused on different parts (leaf, flower, fruit, bark…). Then you run each image through Lens and check which name is repeated most frequently. This repetition is usually a useful clue that the system is on the right track.
In many cases, especially with species that are very similar to each other, Lens will only be able to go down to the level of gender, family, or order.Even so, this is already a huge leap for an amateur, because a few years ago it was practically unthinkable to obtain this information so quickly without resorting to an expert or complex technical guides.
Therefore, in the field of practical taxonomy, The arrival of Google Lens has been a small revolutionIt does not replace a specialist, but it allows students, teachers, and enthusiasts to operate at levels of precision previously reserved for those who dedicated many hours to studying keys and manuals.
Educational uses and applications in education and outreach
In the educational field, The possibilities of Google Lens and identification apps are enormousIn biology subjects, especially when dealing with the classification of living things, taking students to the schoolyard or the park next door with their mobile phones in hand becomes a very powerful activity.
For courses like 1st year of ESO (Compulsory Secondary Education), where the classification of plants and animals is explicitly introduced, These tools allow you to move from index cards and drawings on paper to working with real specimens.Students can photograph local species, view identification suggestions, and then check in the classroom whether or not they match the theoretical characteristics explained.
This approach is also very useful in projects focused on fauna, local flora, or mycology. because any stroll through a natural environment transforms into a mini field tripNo complex equipment is needed: just your mobile phone and a little curiosity.
Even for amateurs without specific training, Lens and company can bring many satisfactionsFrom identifying the plant you have in your living room to knowing what species of bird visits you on your balcony, everything becomes accessible without suffering through dichotomous keys or technical texts.
And note, this is also for specialists: although a botanist or a zoologist is not going to base their work on a single photograph by LensYes, they can rely on these tools to quickly rule out options or collect reference images of similar species.
Other apps for identifying plants: alternatives and complements
Google Lens is very versatile, but It's not an app designed exclusively for floraFor those who focus on plants, there are specific applications that complement or even improve their results in certain contexts.
PlantNet: the power of citizen science
PlantNet is an app designed exclusively for vegetation, Developed with a scientific approach and enriched by the collaboration of users from around the worldTheir database is fed by photos uploaded by the community, reviewed and classified, which greatly improves the quality of the identifications.
When you take a photo with PlantNet, the app asks you whether you are photographing the leaf, flower, fruit, or barkYou can even upload multiple images of the same specimen so that the system has more information and increases the accuracy of the result.
The results are displayed as a list ordered by probability, accompanied by many reference photos for you to visually compareIt is usually quite accurate with common species, and with less common ones it at least gives a good indication of the genus or family.
One practical advantage is that, even when the user makes a mistake in choosing which part of the plant they have photographedPlantNet is usually able to redirect the identification and offer good proposals, which speaks to the robustness of its algorithm and the quality of its database.
PictureThis and Blossom: accuracy and extra features under subscription
PictureThis is another of the most popular plant identification apps, noted for its accuracy, especially in complicated speciesIt offers a free trial period, but continued use requires a paid subscription.
The app combines image identification with very comprehensive profiles, which makes it interesting for users who need more detailed confirmationsIn complicated cases, such as that of Plectranthus forsteriMany users have verified that it nails the species without hesitation.
Blossom moves in a similar direction: It requests up to three photos of different parts of the plant to refine the diagnosis.This is very useful when working with confusing-looking species or those with few distinctive features visible in a single image.
However, even with this multifaceted approach, it is not infallible; for example, It can fail with species such as Asparagus densiflorus and offer candidates who aren't really relevant. Again, it's a helpful suggestion, not a final verdict.
General and specialized apps for animals and fungi
Beyond plants, There are applications specifically geared towards fauna and fungiThe quality of its results is usually closely linked to how specialized the app is.
Seek, from iNaturalist, is a general-purpose app that works in real time: You keep the camera on and the app tries to identify what appears on the screenIt is capable of recognizing animals, plants, and fungi, and takes the geographical component very seriously to rule out species impossible in your area.
The advantage of Seek is that Yes, it applies morphological pattern recognition, not just photographic similarity.Even so, by covering so many taxonomic groups, it sometimes remains at high levels (family, genus) or proposes closely related but incorrect species.
In the world of more focused animal apps, iAnimal promises to identify virtually any bugIt offers a description, size information, conservation status, and a direct link to Wikipedia. In practice, it's quite unreliable, so its results should be taken with a grain of salt.
Next Vision Collections (Picture Fish, Picture Bird, Picture Insect) They're betting on specialization: one app for fish, another for birds, and another for insects.Picture Bird, for example, not only identifies by photo, but also by song, which opens the door to recognizing birds that are rarely seen, but can be heard.
In mushrooms, Next Vision has Picture Mushroom, while the app “Mushroom and fungi identifierAnnapurnApp offers a more affordable option that also allows real-time scanning. However, as with plants, it usually works best if you take a clear, well-lit photo.
How plant identification apps generally work
Beneath the pretty interfaces and colorful tiles, All these apps share a basic idea: comparing your photo with large databases of tagged imagesThis comparison is made using neural networks and other artificial intelligence methods trained to detect visual patterns.
In simple terms, The app looks for "commonalities" between the structure, colors, and textures of your photo and those of known species.From there, it returns the most similar options, ordered by probability, and often indicating that percentage or confidence level.
In the specific case of plants, AI pays special attention to features such as leaf blade shape, edge type, leaf arrangement, flower morphology, and overall plant appearanceThese are precisely the details that a botanist observes when using a magnifying glass and an identification key.
Google Lens, in addition to this part, It adds a very powerful layer of context by cross-referencing the information with everything it knows about the Internet.: what pages talk about those species, what tags people use when uploading photos, what descriptions accompany those images, etc.
That gives it an overwhelming advantage in data volume, but also an Achilles' heel: If there are mislabeled photos or incorrect information on the website, the system may end up learning from erroneous examples. and carrying those flaws into their recommendations.
How to use Google Photos and other apps effectively to improve accuracy
To truly get the most out of these tools, it's not enough to just point the camera without thinking. The quality of the photo directly influences the quality of the identification.The sharper and more visible the key features are, the better the AI ​​will work.
When you want to identify a plant, try to The image should be well-lit, in focus, and without too many distracting background elements.Get close enough to the leaf or flower, but without cutting off important parts of the frame.
If possible, take several photos from different angles and of different parts of the plantTake one photo of the whole plant, one of a leaf, one of a flower, and, if available, one of the fruit or bark. Then run each photo through the identification app and see which name appears most frequently.
In plants with less obvious features (such as certain sparrow grass very fine or without visible flower), You may need to retake photos or combine several apps to get closer to the answer.It's not uncommon for Google Lens to give a wide list of suggestions, and for PlantNet or PictureThis to help narrow down the search.
The same applies to animals: if you're trying to identify an insect, Try to photograph him as closely as possible, with his entire body visible. and avoiding harsh shadows. In birds, a distant silhouette against the sky is usually insufficient; a photo where the colors and shape of the beak and wings are visible will yield much better results.
Practical advantages for gardening, landscaping and fieldwork
In the daily work of gardeners, landscapers, and green professionals, These apps have become very useful work toolsThey allow you to quickly verify that the plants delivered by a nursery correspond to the list of species planned in a project.
For example, in a vertical garden installation with many different species, It is possible to send the construction team a list with photos and have them verify on-site with their mobile phones that each plant is the correct one.They don't need to be botany experts: simply compare what they see with the app and check that the first or second result matches what they expected.
In fieldwork or trips to the mountains, a simple walk is transformed into a very rich observation activityAny plant, hedge, or spontaneous species can become a starting point for learning about its ecology, origin, or possible ornamental uses.
When traveling to cities with different climates, these tools help to discover species that you might want to incorporate into your designs later.provided they are suited to the conditions in your area. You take a photo, identify the plant, and then you can investigate whether it is viable to cultivate it or not. how to take care of it in your environment.
Of course, all these uses require maintaining a critical point: The app gives you a clue, but you decide if that clue makes sense., reading descriptions and comparing them with other sources before making important decisions (for example, buying a large batch of a particular species).
Limitations, common mistakes, and when to be wary
However advanced the algorithms may be, All these tools have weaknesses that should be kept in mind.The most obvious is the dependence on the quality of the photo: blurry, cropped or poorly lit images increase the chances of error.
The absence of flowers on a plant is another classic. Many species are distinguished primarily by their flowering.And when there are only leaves, the app tends to suggest similar alternatives that may belong to different genres or even families.
In species such as erected karvinskianusIf you try to identify them outside of their flowering season, The chances of obtaining an accurate identification decrease considerably.The app usually shows several alternatives and, without a trained eye, it's not easy to choose the right one.
Another typical mistake is assuming that the first result is always correct. Sometimes, the first options in Lens or other apps include species that don't even occur in your region.But they appear at the top because there are many eye-catching photos that are mislabeled on the internet.
An illustrative example is that of a Carex pendula nursery trimmed: Google Lens can make it the first option, but at the same time suggest Agapanthus o liriopewhich don't have much in common. If you only look at the first name without reading further, you can easily get confused.
Something similar happens in animals: Some apps frequently fail to identify birds or insectsEspecially when the photo doesn't capture the key details well. That's why it's important to always check several sources and, if necessary, ask for opinions in specialized communities.
Why technology does not replace the expert (and shouldn't)
To understand the extent to which we can rely on these tools, it is helpful to remember how species identification has been done throughout history. Zoologists, botanists, and mycologists work with technical guides and dichotomous keys. that force us to focus on very specific features, often invisible to the naked eye.
In many cases it is necessary to take samples, make cuts, observe under a microscope, or use chemical reagents to observe reactions that distinguish two nearly identical species. And when even that isn't enough, genetic analysis is used.
In other cases, a highly experienced specialist can to identify a species visually just by seeing it in its habitatbecause it immediately recognizes patterns of shape, color, size, and ecological context that AI still misses.
Current apps are able to get quite close to that visual identification when the photo is good and the species is well represented in their database. They are excellent for satisfying curiosity and for educational or introductory work.but they do not reach the level of rigor required by, for example, a formal botanical study.
If what you're risking is knowing whether Are mushrooms or fruits edible or potentially toxic?Trusting an app is, quite simply, reckless. In these kinds of decisions, automated identification should be considered unreliable and always subordinate to the judgment of a human expert.
Ultimately, the best combination is usually Use Google Photos with Lens and other apps to get a first approximation, and when accuracy matters, compare with reliable documentation or consult specialists.Technology multiplies your possibilities, but the responsibility for how you use that information remains yours.
Thanks to tools like Google Lens, PlantNet, Seek, or PictureThis, Identifying plants and animals has become much more accessible, fast, and fun for anyone with a mobile phone.They are not infallible oracles, but they are magnificent allies for learning about the world around you, as long as you maintain a critical perspective, confirm important identifications, and, when necessary, resort to the expert eye of those who have spent years studying biodiversity.
