Oceanir's general AI geolocation model.
Reads visual clues from a single photo.
Orca — AI geolocation
Orca is Oceanir's AI geolocation model. AI geolocation uses deep learning to determine where a photo was taken by analyzing architecture, signage, terrain, and vegetation without GPS or EXIF metadata. Ranked location candidates with confidence scores in under 30 seconds.
How AI geolocation determines location
Orca Recall
The model converts your image into a high-dimensional vector (embedding) and searches millions of geotagged reference images for the closest matches. Nearby embeddings indicate visually similar locations.
Vision-language reasoning
A second model reads specific visual cues (text on signs, architectural styles, road markings) and reasons about which geographic region they belong to. This adds an interpretable layer on top of the embedding search.
Hierarchical refinement
Oceanir processes images through multiple depth levels: broad region first, then neighborhood, then street level. Each level narrows the search space using increasingly specific visual evidence.
Confidence scoring
Every candidate location comes with a confidence score derived from embedding distance and reasoning model agreement. Low-confidence results are flagged so analysts can weigh them accordingly.
AI geolocation vs other methods
| Method | Approach | Needs metadata | Coverage | Access |
|---|---|---|---|---|
| Orca (AI geolocation) | Visual reasoning + Orca Recall | No | 103+ cities worldwide | Starter credits, paid plans |
| Reverse image search (Google) | Index matching | No | Only indexed images | Free |
| EXIF/GPS metadata | Read embedded coordinates | Yes (required) | Any GPS-tagged photo | Any tool |
| Manual visual review | Human cue collection | No | Depends on reviewer knowledge | No software required |
Orca AI geolocation accuracy on Im2GPS3k
Try Orca — AI geolocation, free
Free to try. No credit card. Results in under 30 seconds.
Start analyzingAI-powered photo location analysis
How It WorksHow visual location verification works
Product BoundariesWhat Oceanir does and does not do
PricingPlans for individual and team review
For JournalismVerify photo origins for investigative reporting
For Legal ProfessionalsGeolocation evidence for case work
For InsuranceClaim verification and fraud detection
API AccessProgrammatic geolocation for integrations
AI geolocation questions
AI geolocation uses deep neural networks trained on millions of geotagged images to recognize location-specific visual patterns. When you upload a photo, the model extracts features from architecture, road markings, signage, vegetation, and terrain, then matches them against its training data to estimate where the photo was taken.
On Oceanir's published Im2GPS3k evaluation, Orca reports 32.2% accuracy at 1 km and 64.3% at 25 km. That benchmark result is a reference point, not a guarantee for an arbitrary photograph; outputs are ranked candidates with confidence scores so you can assess reliability.
No. AI geolocation works purely from visual content. It analyzes what the photo shows (buildings, roads, signs, landscape) rather than hidden metadata like GPS coordinates or EXIF tags. This makes it effective even when metadata has been stripped.
Orca is Oceanir's AI geolocation model. It offers starter credits, broad regional coverage, and ranked location candidates with confidence scores so a human reviewer can assess the evidence.
Yes. Location verification is used to check photo origins, review media claims, and document whether visible scene evidence supports a stated capture location. Oceanir does not identify people or track private individuals.
Street-level outdoor photos with visible infrastructure perform best: road markings, traffic signs, storefronts, and architectural details. Aerial photos, indoor scenes, and images with minimal contextual clues produce less precise results.
Free to try, no credit card required. Paid plans cover Starter, Pro, and Enterprise workflows.
Reverse image search (Google Images, TinEye) finds visually similar images online. AI geolocation analyzes the visual content itself to estimate location, even for photos that have never appeared online. It reasons about architecture, terrain, and signage rather than matching against an index.
Yes. Orca, Oceanir's AI geolocation model, reads visual evidence in the scene (architecture, signage, road markings, vegetation, sky conditions) to estimate where a photo was taken. You get ranked candidate locations with GPS coordinates and confidence scores, typically in under 30 seconds. Free to try, no credit card. No GPS or EXIF metadata required.
Upload an image to Orca, Oceanir's AI geolocation model, and it returns its top guess for where the photo was taken plus five geographically diverse alternatives, each with a confidence score and the visual cues it used. Free tier covers surface-level estimation; paid tiers add street-level verification and forensic evidence bundles.