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Oceanir vs GeoAxis

Both turn a photo into ranked, evidence-backed location leads. GeoAxis scored higher in the one shared benchmark, pins street photos in 2,395 cities to Oceanir’s 102, and has unlimited searches on Pro.

Updated October 23, 20267 min readGeoAxis Team
Oceanir.ai homepage, compared with GeoAxis

Written by GeoAxis. We make one of the two tools compared here, so every claim about Oceanir links to Oceanir’s own pages or to a third-party test.

Oceanir and GeoAxis are close cousins. Both estimate where a photo was taken from the pixels alone, with no GPS or EXIF. Both return ranked leads rather than a single verdict, each with a confidence score and the clues behind it, and both export a report you can put in a case file. Where they differ is how far the precision reaches, how they price it, and a few workflow extras.

The Short Answer

Pick GeoAxis for precision and volume: higher 1 km accuracy in GeoSeer’s benchmark (87% vs 79%), street-level pins in 2,395 cities instead of 102, and unlimited searches on Pro. Pick Oceanir if you work from video clips or want API access on a $10 plan. Try GeoAxis free on a photo you already know the answer to.

Accuracy: The One Shared Benchmark

Neither company’s own benchmark tests the other tool. The only published test we know of that runs both on the same photos comes from GeoSeer, a competitor to both: 62 photos (urban, rural and indoor, adapted from Im2GPS), scored on whether the top answer landed within 1 km. Snapshot dated October 14, 2026.

Tool (mode tested)Within 1 kmMedian time (fastest mode)
GeoSeer (Agent)94%10 s
GeoAxis (Global Search, High)87%35 s (Low)
Oceanir (D3 Forensic)79%8 s (D2)
Picarta62%12 s

Two caveats GeoSeer states itself: it is GeoSeer’s own evaluation, and accuracy and speed were measured in different modes. It also left out GeoAxis City Search, the mode that matches a street photo against street-level imagery for a meter-level pin. On the photos it did test, GeoAxis placed eight points more of them within 1 km than Oceanir did.

Coverage: 2,395 Cities vs 102

Street-level precision depends on having reference imagery for the place in the photo. GeoAxis City Search (HyperVision™) has 2,395 indexed cities and towns across 27 countries: 881 in the United States, 523 in the United Kingdom, 322 in Australia, 156 in the Netherlands, 128 in Canada, 107 in Ireland, 67 in New Zealand and more. In March 2026 Oceanir said its public model, Orca, covers 102 cities, the latest figure it has published. Its enterprise model, Manta, adds a street-level “Ground” mode for approved organizations only.

Outside indexed cities, both tools fall back to a worldwide estimate: ranked candidates with confidence scores that you should check on a map before relying on them.

Evidence: Close to Parity

This is Oceanir’s signature, and it’s a good one. GeoAxis covers the same ground:

  • Ranked leads with confidence. Both return several ranked candidates, each with a confidence score, instead of one pin presented as fact.
  • The clues behind each lead. Both explain which signs, architecture, vegetation or road features the answer rests on. GeoAxis also drops evidence pins on the map for clues it resolves to a place.
  • Street View check. Oceanir adds Street View verification at its D3 depth. GeoAxis City Search opens the matching Street View side by side with your photo, aimed the way the camera faced, with an optional keypoint re-rank against Street View imagery.
  • PDF report. Both export one. Oceanir Pro also lists the locations it ruled out and why, which GeoAxis does not yet do.
  • Places, not people. Neither does facial recognition or identifies individuals.

Pricing (October 2026)

Oceanir (oceanir.ai/pricing) runs on credits. A basic D1 check is free without signing in, and signing up adds 3 credits for D1 and D2. Starter is $10 a month for 30 credits (Oceanir’s estimate: about 3 detailed D3 analyses), and Pro is $29 a month for 100 credits (about 10 D3 analyses), adding PDF and CSV exports, ruled-out locations and a Mac app. A D3 analysis costs 10 credits; credit packs start at $7.99 for 10. Enterprise is custom and is where Manta lives.

GeoAxis (geoaxis.ai/pricing) gives every new account free Global and City searches with no card. Pro is $29.99 a month ($23.99 billed yearly) with unlimited searches, every effort level, City Search and PDF reports. Business is $79.99 a month and adds the API (50 calls a month). Pay-as-you-go is $0.90 a search, from $10.

At about the same monthly price, Oceanir Pro buys roughly 10 deep analyses and GeoAxis Pro buys unlimited searches. Oceanir is cheaper for occasional use and for API access.

GeoAxis vs Oceanir at a Glance

CapabilityGeoAxisOceanir
Works with no EXIF or GPSYesYes
Within 1 km, GeoSeer benchmark87%79%
Cities with street-level coverage (self-serve)2,395102 (Oceanir, March 2026)
Ranked leads + confidence scoresYesYes
Street View checkSide by side, City SearchD3 depth
PDF reportYesPro
Ruled-out locations listNot yetPro
Video inputImages onlyExtracts frames from clips
Free to tryFree Global + City searchesFree D1, 3 credits on sign-up
~$29/month planUnlimited searches100 credits (~10 D3)
APIBusiness ($79.99), self-serveFrom Starter ($10), capped
No facial recognitionYesYes

Sources: oceanir.ai, oceanir.ai/pricing and oceanir.ai/developers, checked October 23, 2026; geoseeer.com/benchmarks, snapshot October 14, 2026. Prices change - check both pricing pages before you buy.

Which Should You Use?

  • Street photos you need pinned to an address in the US, UK, Australia, Canada, Ireland, the Netherlands, New Zealand or the other indexed countries: GeoAxis City Search.
  • High volume - a newsroom desk, an insurance queue, a GeoGuessr habit: GeoAxis Pro’s unlimited searches.
  • Video clips, or an API on a small budget: Oceanir.
  • Not sure? Both are free to try. Run the same five photos you already know the answers to through each, and compare how close they get and how well each explains itself.

For the rest of the field, see the best AI image location finders comparison, or the GeoSeer and GeoSpy / Raven comparisons.

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