Real photos. Real results.
See what Oceanir actually does.

Oceanir returns a confidence score with every result based on how many unique visual signals it can match against its scene knowledge. High-confidence results (above 80%) typically have several distinctive cues — architectural style, signage script, terrain, vegetation — that narrow the location to a specific region or city. Lower-confidence results still surface the evidence found so you can judge for yourself.

Photos with visible, place-specific detail work best: street-level architecture, road markings, signage in any script, vegetation type, terrain features, and skyline silhouettes. Wide outdoor shots with multiple cues produce higher confidence than tight indoor portraits. Oceanir does not rely on EXIF or GPS metadata — every read comes from the visible scene alone.

Yes. Because Oceanir reads the visible content of the image rather than embedded metadata, it works on screenshots, re-saved files, and images where EXIF data has been stripped. The same pipeline runs regardless of how the image was captured or transferred.

Indoor and low-detail photos are the hardest cases. Oceanir will still attempt an analysis and return whatever evidence it can find — furniture style, electrical outlet shape, window view — but confidence is typically lower and the result may cover a broader region rather than a precise point. These are flagged in the evidence trail so you know how much weight to give the prediction.