Upload a photo of any fish to identify the species, learn about its habitat, and check size and regulation details. The AI fish scanner analyzes body shape, color, and fin structure to return results in seconds.
Tap or drag a fish photo here to scan
AI fish identification is the process of using image recognition to determine a fish species from a photograph. The model analyzes body shape, fin configuration, color patterns, scale texture, and head profile. It returns the species name, common name, family classification, and habitat details. The scanner covers freshwater, saltwater, and brackish water species from regions worldwide.
The AI fish scanner uses a neural network trained on labeled photographs of fish species. The model learns to recognize distinguishing features such as lateral line position, dorsal fin shape, tail fork depth, and color band patterns. When a photo is uploaded, the system isolates the fish from the background, analyzes its features, and ranks potential species matches by confidence score. A clear broadside photo activates the most reliable feature detection.
The fish identification model includes common game fish like bass, trout, walleye, catfish, and pike. Saltwater species such as snapper, grouper, tuna, mahi-mahi, and flounder are covered. Tropical reef fish including parrotfish, tang, wrasse, and butterflyfish are in the dataset. Aquarium species like bettas, tetras, and cichlids are also recognized. Coverage is strongest for species commonly photographed by anglers and divers.
Anglers use the fish scanner to identify unfamiliar catches on the water. Divers photograph reef species for later identification, and those who also enjoy bird identification often scan shorebirds spotted near the same waterways. Aquarium hobbyists scan fish at pet stores to learn species details before buying. Fisheries biologists use visual scanning as a quick field reference during surveys. Parents and educators use the tool during family fishing trips to teach children about local species. The same families often use the plant scanner to identify trees and wildflowers along the shoreline.
Hold the fish broadside to the camera or lay it on a flat surface. A full side-view from head to tail is the most effective angle. Spread the fins if possible to reveal dorsal and pectoral fin shapes. Natural daylight prevents color distortion. Avoid dark shadows across the body.
Upload the fish photo to the scanner. The AI processes the image in seconds, detecting body outline, fin positions, and color patterns. No manual species selection is required before scanning. The model handles saltwater and freshwater species in a single scan.
The result displays the species name, common name, family, typical habitat, and size range. Some results include notes about fishing regulations, seasonal availability, and edibility. If the confidence score is low, try a photo with better lighting or a different angle showing more distinguishing features.
Freshwater species are among the most commonly scanned. Largemouth bass, smallmouth bass, rainbow trout, brown trout, channel catfish, and bluegill are identified with high confidence. The scanner distinguishes between similar species like largemouth and smallmouth bass using jaw length, coloration, and lateral markings. Creek, river, and lake species from North America, Europe, and Asia are covered.
The scanner recognizes common saltwater game fish and commercial species. Red snapper, striped bass, yellowfin tuna, swordfish, and halibut are in the reference database. Reef species scanned by divers include clownfish, lionfish, moray eels, and triggerfish. Deep-sea species photographed on fishing boats are harder to identify because they may change color when brought to the surface due to pressure differences.
The scanner identifies popular freshwater aquarium fish including neon tetras, angelfish, discus, guppies, and corydoras catfish. Saltwater aquarium species like clownfish, royal gramma, and yellow tang are also covered. Photographing aquarium fish through glass can introduce reflections and color shifts. For clearer results, photograph the fish during feeding when it approaches the front of the tank.
Some scan results include general regulation notes for the identified species, such as common minimum size limits or bag limits. Anglers interested in food scanning can photograph their prepared catch to get calorie and nutrition estimates. These notes are informational and based on widely published regulations. Fishing rules vary by state, province, body of water, and season. Always verify current regulations with your local fish and wildlife agency before keeping any catch.
The scanner may flag species known for venomous spines, sharp gill plates, or other handling hazards. Lionfish, stonefish, and catfish with barbed spines are examples of species that carry safety notes. The scanner does not assess individual specimen health or parasites. Safety information is species-level and general.
AI fish identification is based on visual analysis from a single photograph. It cannot assess internal anatomy, scale count, or tooth structure, which are sometimes needed for precise species-level identification. Juvenile fish often lack the coloration of adults, making them harder to identify. Hybrid fish produced in stocked waters may not match any single species in the database.
The scanner does not replace local fishing guidebooks or professional ichthyological assessment. Regulation information is general and may be outdated. Fish coloration can vary by water conditions, diet, and spawning status. For broader wildlife identification including birds and mammals near waterways, the animal scanner handles non-fish species.
An angler catches an unfamiliar fish in a mountain stream. The broadside photo shows a spotted pattern and red stripe along the lateral line. The scanner identifies it as a rainbow trout and notes a 12-inch minimum size for the region's general regulations. The angler measures the fish, confirms it meets the minimum, and decides to keep it.
A snorkeler photographs a brightly colored fish on a Caribbean reef. Back on shore, they upload the photo. The scanner identifies the fish as a queen angelfish based on the blue and yellow body coloration and crown spot. The result includes habitat depth range and typical reef zone.
A parent takes their child fishing at a local pond. The child catches a small green sunfish. Scanning the photo teaches the child the species name, diet, and the fact that green sunfish are one of the most common panfish in North American ponds. The scan turns a casual catch into a learning moment.
A fisheries technician surveys a stream restoration site. Photographing each captured fish and scanning the images creates a quick species inventory for the site visit report. The scans supplement traditional identification methods and speed up field documentation.
AI fish identification works by analyzing a photo of a fish specimen. The model examines body shape, fin placement, coloration patterns, scale texture, and markings to match the fish against a species reference database. It returns the species name, common name, habitat type, and basic biological information.
Yes. The scanner covers both saltwater and freshwater species. Common game fish, reef species, river fish, and lake fish are represented in the training data. The result includes habitat type so users know whether a species is marine, freshwater, or brackish.
AllScan AI offers free fish scans through the web tool and mobile app. The web version provides a limited number of daily scans. The app includes additional free daily scans on iOS and Android.
Accuracy depends on photo quality, the angle of the fish, and how distinctive the species' markings are. Popular sport fish and brightly colored reef species are identified with higher confidence. Juvenile fish and similar-looking species within the same family reduce accuracy.
A full side-view photo showing the entire body from head to tail works best. The fish should be well-lit with fins spread. Avoid extreme close-ups. Photos on a flat surface or held broadside to the camera produce better results than angled shots.
Yes. The scanner recognizes popular aquarium species including clownfish, bettas, guppies, tetras, cichlids, and angelfish. Fish photographed through tank glass may produce less accurate results due to reflections and color distortion.
The scanner may include general notes about size limits, catch limits, or protected status. This information is general and may not reflect current local regulations. Always check your state or country's fishing regulations before keeping a catch.
The scanner can process underwater photos when the fish is clearly visible. Water clarity, lighting, and distance from the camera affect accuracy. Clear tropical water with good visibility produces better results than murky or deep-water images.
The scanner may include safety notes for species known to have venomous spines, sharp gill plates, or other hazards. This information is species-level and informational. It does not replace proper fish handling knowledge.
The scanner is primarily trained on fin fish. Some common shellfish and crustaceans like lobster, crab, and shrimp may be recognized at a general level. For detailed invertebrate identification, results are less specific than for bony fish species.
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