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Birds

Identify bird species from photos. Learn about songs, habitats, and migration.

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What is in this section

How to use the birds section

There are 11 articles here , published between January 2026 and June 2026, and they answer questions rather than catalogue species: how to tell two similar things apart, what a particular mark or shape means, what to do once you know. They are the long form.

The faster route, when you have the thing in front of you, is one of the 2 free keys for this section — 60 entries between them. A key does not ask you to describe what you are looking at in words; it asks a series of questions you can answer by looking, and the list shrinks as you go. Nothing is hidden behind the filter: every entry is written into the page, so the whole catalogue is readable with scripting switched off, and each one carries the single sentence that separates it from its nearest look-alike.

There is a third thing on the site worth knowing about from here, because it answers a question this section cannot. People arriving at an identification problem usually end up comparing apps, and the honest answer to "which one" depends on facts that change — what each costs this month, what it locks behind a subscription, who publishes it. Those pages exist under compare and alternatives, and not one figure on them is typed by hand: every price and every in-app purchase list is read from a dated App Store snapshot, and the build fails if a currency amount ever appears in the editorial text. It is the same discipline as the numbers below, applied to a subject that goes stale faster.

Reading a shortlist without being fooled by it

Whatever brings you here, the failure mode is the same and it is worth naming. A key, an app and a search all hand you a shortlist, and a shortlist feels like an answer. It is not: it is a set of candidates that survived the characters you happened to check, and the one at the top is usually the one that is common rather than the one that is right. That is often the same thing, which is exactly why it is dangerous when it is not.

Three habits fix most of it. Check a character you have not used yet — if the candidate survives a test drawn from a different part of the organism, the identification is much stronger than one built on colour alone. Check where you are: an enormous share of confident misidentifications are species that do not occur within a thousand miles of the observer, and geography alone settles them. And notice when the answer does not matter — a great many identifications are curiosity, where being wrong costs nothing, and the small number where it does cost something are worth treating completely differently.

Where the consequence of an error is medical — anything eaten, anything that bit somebody, anything a child had in their hands — no page here and no app is the right tool. Describe what you have to somebody qualified, and keep the specimen or a photograph. The keys are built to make that description accurate, which is a genuinely useful thing to be, and it is a different job from telling you it is safe.

Open data

What the observation record actually says about birds

Orvik's free keys for this section cover 33 named species, and each of them is matched against GBIF, the international register of biodiversity records. Between them they stand on 501,295,315 georeferenced records spanning 23 families and 9 orders, the oldest specimen collected in 2013. None of these figures is typed into the page: they are read from a dated snapshot, 2026-09-04, and every one is checkable against the source. A further 1 entries in these keys name a genus or a family rather than a single species; their counts already contain everything beneath them, so they are left out of this total rather than added to it.

Most of that record comes from the United States, Canada and the United Kingdom — which is a fact about who uploads observations, not about where these birds live, and it is worth holding on to when a key looks confident about a species' range. Half of every record for this group falls in January–May. The figure below separates the two effects: the bars are the raw monthly share, which largely tracks when people go outdoors, and the line divides each month by this corpus baseline — every species in every Orvik key — so what remains is what is particular to this section rather than to the seasons of nature-watching itself.

Share of 499,573,922 GBIF records of 33 birds by month of the year, against the seasonal average for all Orvik records 0%5%10%15%20%JFMAMJJASOND share of records vs. all Orvik records 1.0 = the seasonal average
Half of the 499,573,922 georeferenced records for these 33 birds fall in January–May alone. The bars are the raw share by month, which mostly measures when people go looking; the line divides each month by the baseline for every species in every Orvik key, so a value above 1.0 means these birds are reported more than the season alone explains, and it peaks in February. Source: GBIF, snapshot 2026-09-04.

Best-evidenced birds in our keys

Ranked by how much evidence exists rather than by how likely you are to meet one, because those are different questions and only the first can be measured. A high count is a good prior when a key narrows to two candidates and you have to pick.

The twelve best-recorded species across Orvik's birds keys, snapshot 2026-09-04. Source: GBIF and iNaturalist. Free to reuse with a link.
Species GBIF records Half fall in In the key
Mallard 29,635,278 Jan–May bird egg identifier
American robin 29,399,206 Mar–Jun bird egg identifier
American crow 29,072,171 Jan–May bird egg identifier
European starling 28,298,900 Jan–May bird egg identifier
Mourning dove 27,323,324 Jan–May bird egg identifier
Northern cardinal 27,192,474 Jan–May bird egg identifier
House sparrow 25,809,906 Jan–May bird egg identifier
Blue jay 24,084,106 Jan–Jun bird egg identifier
Canada goose 23,296,736 Feb–May bird egg identifier
Song sparrow 22,455,511 Mar–Jun bird egg identifier
Red-winged blackbird 21,105,852 Mar–May bird egg identifier
American goldfinch 20,295,243 Mar–Jul bird egg identifier

Every figure on this page comes from the same snapshot, and the whole thing is published as one downloadable file: open field data, CC BY 4.0, with each source's own licence listed. If a number here disagrees with the source database today, the source is right and this snapshot is old.

Free keys in this section: Whose egg is this? · Which bird did this feather come from?

How do I identify birds? Start with a systematic set of observations: note size and silhouette, bill shape, plumage patterns (wing bars, eye stripes, tail shape), leg color, behavior (foraging method, flight style), habitat and date, and — when possible — the song or call. A clear photograph or a short audio recording makes identification far more reliable; compare your observation against range and season to narrow candidates. Use a combination of visual, auditory and contextual clues rather than relying on a single feature.

How Orvik works for birds

Orvik uses image and audio analysis against a curated database of 10,000+ bird species to propose likely matches with confidence scores and supporting field marks. Upload one or more photos and, if available, a short audio clip; Orvik evaluates plumage, shape and vocal patterns, then filters results by location and date to reduce false positives. The app also shows the key distinguishing characters it used so you can verify the ID yourself.

What you can learn

Beyond species names, Orvik helps you learn age and sex where visible, typical calls, similar species to compare, and expected habitat or migration timing. It also flags safety and handling considerations: never touch or attempt to rehabilitate wild birds yourself, avoid disturbing nests, and report sick or injured birds to local wildlife authorities — some illnesses can pose risks to people and other wildlife. Rare cases of toxic birds exist in limited regions; when in doubt, observe from a distance.

Frequently Asked Questions

How accurate is Orvik for bird identification?
Accuracy depends on photo or audio quality, angle, and the species involved; common species with clear photos are identified correctly most of the time, while cryptic or similar-looking species require better evidence. Orvik provides confidence scores and the key field marks used so you can assess and confirm the result.
Is Orvik free to use?
Orvik is free to download and offers core identification features at no cost. Some advanced tools and premium content may require a subscription, but basic photo and audio IDs are available without payment.
Can I identify a bird from a single photo?
Yes — a clear, well-lit photo showing distinguishing features (bill, tail, wing pattern, underside) often yields a reliable ID. If possible, upload multiple angles and include habitat or a short audio clip to improve accuracy.
Does Orvik identify birds by sound?
Orvik supports audio identification when you upload a clear recording of a song or call; accuracy falls with background noise or distant recordings. Short clips of a single vocalizing bird work best.
What should I do if Orvik lists multiple possible species?
Compare the suggested species using the field marks Orvik highlights, check range and season, and review behavior or habitat notes to narrow the list. You can add more photos or audio, or seek confirmation from local experts when species remain ambiguous.
How can I observe birds safely and ethically while identifying them?
Keep a respectful distance, avoid handling or feeding wild birds, and do not disturb nests or fledglings. If you find sick or injured birds, contact licensed wildlife rehabilitators rather than attempting to care for them yourself.

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