Bird song identifier. Record a bird call and AI identifies the species, region, and call type.
Select the AI model for audio analysis. Different models may have different capabilities.
Record audio directly from your microphone
To identify a bird by its song, record the call and upload it: the AI names the most likely species with a confidence percentage, lists two or three alternative candidates when the call is ambiguous, and classifies the vocalization type (song, call, alarm, courtship, or contact call), which matters because one species can sound completely different across those contexts. The identification comes with the likely region and habitat where the bird is found, the time of year it typically vocalizes this way, and the distinctive trait of the call that confirmed the ID, so you learn the field mark and can recognize it yourself next time. A fun fact about the species rounds it out, and if other birds are audible in the background, they get noted as secondary identifications. It turns the universal question of what bird is that into an answer plus a small ornithology lesson.
Record the bird (phone audio works, the closer and cleaner the better) and upload it. The AI analyzes the acoustic structure of the vocalization: pitch range and contour, rhythm and phrase patterns, tone quality (whistled, buzzy, trilled, harsh), and repetition structure, the same features birders use to identify by ear. Species matching compares this against known vocalizations and returns the best match with a confidence percentage, plus honest alternatives when several species share similar calls. Vocalization classification distinguishes song (territory and courtship) from calls, alarms, and contact notes. Context enrichment adds the expected region and habitat, the season this vocal behavior peaks, and crucially, the distinctive trait that drove the identification, teaching you the diagnostic feature. Background scanning lists secondary species audible in the recording, which often turns one ID into three.
Record the song with your phone, upload it, and the identifier names the most likely species with a confidence percentage, plus two or three honest alternatives when calls overlap. You also get the vocalization type, the region and habitat where the bird occurs, and the distinctive feature of the call that drove the identification.
Get as close as you reasonably can, hold still, and capture 10 to 30 seconds with the bird as the loudest thing in the clip. Early morning helps, since the dawn chorus is loud and your target is usually closest. Wind and traffic are the main spoilers; shielding the mic with your hand helps.
Distinctive singers identify reliably; the honest trouble cases are mimics like mockingbirds and starlings, species pairs with near-identical calls, and faint recordings buried in wind. That is why results include alternatives and a confidence level rather than a single flat answer, and why the distinguishing-trait note matters: it tells you what to listen for to confirm.
Yes, the vocalization gets classified as song, call, alarm, courtship, or contact note, which is genuinely useful context: the same bird can produce wildly different sounds across those modes, and an alarm chorus tells you something is happening nearby (often a cat or a hawk) that a territorial song does not.
The loudest, clearest voice gets the primary identification, and other audible species are listed as secondary IDs, so a busy dawn recording often returns multiple birds. If your target is the quiet one in the back, get closer and re-record; the analysis prioritizes whatever dominates the audio.
Yes, it is not locked to one regional checklist. Identification leans on acoustic structure and is strongest for well-documented species, so common and distinctive birds worldwide do well, while obscure local species may come back as a best-guess match with lower confidence. The habitat and region notes adapt to whatever it matches.
BPM finder. Upload any song clip and AI detects the tempo, time signature, and any tempo changes.
Song key finder. Upload audio and AI detects the musical key, chord progression, and modulations.
Scale and mode finder. Upload a song and AI identifies the scale, mode, and any modal interchange.
Instrument identifier. Upload audio and AI lists every instrument it hears, including layered and processed s…
Song mood analyzer. Upload music and AI describes the emotional tone, energy, and likely listener feel.
Mix quality checker. Upload your track and AI evaluates balance, stereo imaging, dynamics, and clarity.