AI-Powered Arachnology

Identify any spider

Upload a single photo and discover the species in seconds — complete with venom-risk indicators, look-alike alerts, habitat data and expert guides. Free to try, no app required.

  • AI-POWERED
  • 50,000+ SPECIES
  • VENOM RISK ALERTS
  • 100% FREE TO TRY
0+
Species in dataset
< 0s
Average identification
0%
Top-match accuracy*
0+
Countries covered

*Top-match accuracy on clear, well-lit images of common species.

Free AI tool

Identify your spider right now

Drop a photo below and get the most likely species, a confidence score and a clear venom-risk indicator — in under three seconds.

Instant result Venom risk flagged

Drop a spider photo to identify

or browse your files — JPG, PNG or WebP, up to 10MB

📷 Clear & well-lit🕷️ Side angle🔍 Fills the frame

Trained across common & medically significant species worldwide

Common House SpiderBlack WidowBrown RecluseBold Jumping SpiderGolden Silk Orb-WeaverEuropean Garden SpiderDaddy Long-Legs (Cellar Spider)Wolf SpiderHobo SpiderHuntsman SpiderBrazilian Wandering SpiderTarantula
Theraphosidae familyPhoneutria speciesHeteropoda venatoriaEratigena agrestisHogna / Lycosa speciesPholcus phalangioidesAraneus diadematusTrichonephila clavipesPhidippus audaxLoxosceles reclusaLatrodectus mactansParasteatoda tepidariorum
How it works

From photo to species in five steps

The same pipeline a field expert runs — detection, feature extraction and matching — compressed into under three seconds.

01

Capture or upload

Take a clear, well-lit photo of the spider — or upload one you already have. A side angle showing the legs and body works best.

02

Detection & isolation

Computer vision locates the spider and separates it from leaves, walls and shadows so only the animal is analysed.

03

Feature extraction

The model measures leg proportions, body segmentation, colour patterns, markings and — where visible — eye arrangement.

04

Model prediction

Those features are matched against a dataset trained on thousands of labelled images to rank the most likely species.

05

Result + venom risk

You get the top matches with a confidence score and a clear venom-risk indicator — in under three seconds.

Why it's more accurate

Not a guess — a biology-tuned match

Raw image matching only gets you so far. Real arachnology refines every prediction so you can act with confidence.

Arachnology-based analysis

Beyond raw pixels, predictions are refined with real biology — eye arrangement, leg stance and web type sharpen the match.

Venom-risk indicators

Every result is flagged harmless, mild, caution or dangerous, so you instantly know whether to keep your distance.

Look-alike detection

Brown recluse vs harmless cellar spider, widow vs false widow — the model surfaces the differences that matter.

Multi-feature matching

Body shape, leg banding, markings and posture are weighed together — not a single trait that a blurry photo could fake.

Global species coverage

From house spiders to the Brazilian wandering spider, the dataset spans common and medically significant species worldwide.

Safety-first guidance

Suspected dangerous species come with clear next-step advice — because an identification should help you stay safe.

What the AI looks at

The five signals that give a spider away

Tap a signal to see what the model reads. Together, these features narrow thousands of species to a confident shortlist.

Body shape
Species library

Know your eight-legged neighbours

From harmless house spiders to the species worth respecting — each profile carries identifiers, habitat and a clear venom-risk rating.

View all species
The difference

Built for spiders — not generic photos

A field guide is slow and a generic photo app is vague. Spider Identifier is tuned for one job and flags what matters: risk.

FeatureSpider IdentifierField GuideGeneric Photo App
SpeedInstant (< 3s)Slow page-flippingFast
Venom risk alertsBuilt inManual cross-referenceNone
Look-alike warningsYesSometimesRarely
Arachnology-tunedYesYes (expert needed)No
Beginner friendlyDesigned for itRequires expertiseGeneric results
Works on mobileYesCarry a bookYes
Honest about limits

What AI can't tell you

A photo captures shape, colour and texture — but not everything. Knowing the limits is what makes the tool trustworthy, especially when safety is on the line.

For a suspected venomous bite, never rely on a photo. Seek professional or medical advice immediately.

Closest match, not a verdict

The AI returns the most likely species with a confidence score — treat it as a strong hypothesis, not a guaranteed identification.

Environmental noise misleads

Busy backgrounds, harsh shadows and reflections can confuse detection. A clean, well-lit photo dramatically improves the result.

Some species need a microscope

A handful of look-alikes can only be separated by microscopic traits no camera can capture. We flag uncertainty rather than fake confidence.

Location is optional

Regional data sharpens accuracy, but it is only used when you choose to share it — so a global guess is always possible.

Questions, answered

People also ask

Everything you might wonder before you upload your first photo.

Yes. With a clear, well-lit image, machine-learning models reach high accuracy for common, distinctive species. Accuracy drops for blurry photos, juveniles, or species that can only be separated under a microscope — which is why we always show a confidence score rather than a false guarantee.

Found a spider? Know it in seconds.

Upload a photo and get an instant species match with a clear venom-risk indicator. Free to try — no account, no app, no waiting.