Written by GeoAxis. We make the first tool on this list, so we’ve kept to things you can check: each competitor fact comes from that company’s own site, and the accuracy figures come from a benchmark run by GeoSeer, not by us.
An AI image location finder takes a photo with no GPS or EXIF and estimates where it was taken from what’s visible in it. These tools are used for OSINT, newsroom verification, insurance and property checks, and the everyday “where was this taken?”. They differ most on three things: how often they land within a kilometre, whether they can get from a neighbourhood to the exact street, and whether they show enough evidence for you to check the answer.
GeoAxis is the best all-round pick if you need precision you can check: 87% within 1 km in GeoSeer’s benchmark, street-level pins in 2,395 cities, ranked leads with confidence scores and a side-by-side Street View, and unlimited searches for $29.99 a month. GeoSeer leads its own 1 km test and is good for quick answers and video; Oceanir suits cautious case work. Raven (formerly GeoSpy) is not available to the public, so it isn’t an option unless you’re a vetted agency. Try GeoAxis free.
The Benchmark: Same 62 Photos, Four Tools
Most accuracy claims in this field are each vendor testing itself. The one published test we know of that runs several tools on the same photos is GeoSeer’s: 62 urban, rural and indoor photos adapted from Im2GPS, scored on whether the top answer lands within 1 km. Snapshot dated October 14, 2026.
| Tool (mode tested) | Within 1 km |
|---|---|
| GeoSeer (Agent) | 94% |
| GeoAxis (Global Search, High) | 87% |
| Oceanir (D3 Forensic) | 79% |
| Picarta | 62% |
Read it with care. GeoSeer ran it and finished first. It scores only the 1 km mark, so it can’t tell a pin on the right block from one 900 m away, and it left out GeoAxis City Search, the mode built for street-level precision. Raven was not tested because it isn’t publicly available.
At a Glance
| Tool | Within 1 km (GeoSeer test) | Street-level coverage | Evidence shown | Video | Entry price | API |
|---|---|---|---|---|---|---|
| GeoAxis | 87% | 2,395 indexed cities | Ranked leads, confidence, evidence pins, side-by-side Street View, PDF | No | Free searches; Pro $29.99/mo unlimited | Business, $79.99/mo |
| GeoSeer | 94% | Agent ranks candidates against Street View | Agent reasoning across visual, map and web evidence | Yes | 1 free search/day; $19/mo | From free tier |
| Oceanir | 79% | 102 cities (Orca, March 2026) | Ranked leads, confidence, Street View at D3, PDF on Pro | Frames from clips | Free D1; $10/mo for 30 credits | From $10, capped |
| Raven (GeoSpy) | Not tested | Find Street within a chosen region | Not public | - | On request, vetted orgs | On request |
| Picarta | 62% | No | Coordinates + confidence | No | 1 free; $15.90 for 20 | Enterprise only |
| FindPicLocation | Not tested | No | Map guess | No | Free | No |
Sources: geoseeer.com/benchmarks; oceanir.ai and oceanir.ai/pricing; geoseeer.com pricing; graylark.com/raven; picarta.ai/pricing; geoaxis.ai/pricing. Checked October 23, 2026. Prices change - check before you buy.
1. GeoAxis - Best Overall for Precision and Evidence
Second in the shared 1 km test, and the only tool here with a self-serve, street-level index of thousands of cities, an evidence view built for checking the answer, and unlimited searches at $29.99 a month.
GeoAxis runs two modes from the same upload. Global Search works anywhere on Earth and returns up to three ranked candidate locations, each with a confidence score and the clues behind it, with evidence pins on the map. City Search (HyperVision™) matches a street photo against indexed street-level imagery in 2,395 cities and towns across 27 countries - 881 in the US, 523 in the UK, 322 in Australia - and opens the matching Street View side by side with your photo, aimed the way the camera faced, so you can see for yourself whether it’s the same place.
- Accuracy: 87% within 1 km in GeoSeer’s benchmark. On GeoAxis’s own Dataset-GSS test (615 street-level photos, 396 cities, 123 countries), V3 put 464 photos on the correct spot - method and per-model results.
- Evidence: ranked leads, confidence scores, evidence pins, side-by-side Street View, an optional keypoint re-rank against Street View, and a PDF report.
- Speed: median about 5 seconds on Instant, 20 on Low, 30 on Medium and 60 on High.
- Price: free Global and City searches on sign-up; Pro $29.99/month ($23.99 yearly) unlimited; Business $79.99/month with the API; pay-as-you-go $0.90 a search.
- Limits: images only, no video yet; meter-level pins only inside indexed cities; the API starts on Business.
2. GeoSeer - Best for Fast City-Level Answers and Video
GeoSeer (geoseeer.com) is an agentic tool: its Fast, Agent and Event modes combine visual analysis with EXIF, reverse image search, satellite imagery and web search, and the Agent ranks candidates against Street View. It handles video and up to three photos, has a text-only Event mode for breaking news, and tops its own 1 km benchmark at 94%. Free gives one Fast search a day; Starter is $19/month ($9 yearly) and Pro $69/month ($29 yearly), with API calls on every tier. See GeoSeer vs GeoAxis.
3. Oceanir - Best for Cautious, Evidence-First Case Work
Oceanir positions itself on caution - “ranked leads, not verdicts” - and backs it with ranked candidates and confidence scores, Street View verification at its D3 depth, PDF reports and a list of ruled-out locations on Pro. It pulls frames from video clips and offers an API from its $10 Starter plan. It placed 79% within 1 km in GeoSeer’s test, and its public model covers 102 cities (March 2026). Pro is $29/month for 100 credits, about 10 deep analyses. See Oceanir vs GeoAxis.
4. Raven (formerly GeoSpy) - Not Available to the Public
GeoSpy is often named the best tool in this field, but you probably can’t use it. Graylark Technologies now sells it as Raven, to law enforcement, government and investigative teams that book a demo. geospy.ai says it is “available for qualified government and enterprise organizations”, and its “Try Demo” button leads to a demo-request form. There is no public sign-up, free tier or published price, and Raven publishes no accuracy percentages and isn’t in GeoSeer’s benchmark.
It offers region, street and property finding among other tools, and for a vetted agency it’s a capable platform. For everyone else, GeoAxis is the closest match you can actually sign up for - see GeoSpy (Raven) vs GeoAxis.
5. Picarta
Picarta is one of the longest-running photo geolocation services: upload a photo, get coordinates and a confidence score on a map. It placed 62% within 1 km in GeoSeer’s test. One search is free, then $15.90 for 20 or $59.90/month for 100; the API is for Enterprise accounts only. See the Picarta alternative comparison.
6. FindPicLocation
A free, no-friction web tool that reads GPS from EXIF when it’s present and falls back to an AI guess when it isn’t. Useful for a quick check on a photo that might still carry metadata; not built for investigations.
What About ChatGPT, Gemini and Claude?
General assistants can reason about where a photo was taken and are good at reading signs and spotting regional styles. They don’t have a street-level reference index, so they rarely get past a neighbourhood unless a landmark or business name is visible. On GeoAxis’s Dataset-GSS test, GeoAxis V3 placed more photos on the correct spot than the frontier models it was compared with. Use them for a first read; use a dedicated tool when the answer has to be checked.
A Workflow That Works
- Check the metadata. If the file still has GPS, that’s your answer. GeoAxis checks this automatically and shows it free.
- Try reverse image search. Google Lens or Yandex will find the photo if it’s been posted before.
- Run an AI geolocator. Start broad (GeoAxis Global Search), then go street-level where coverage exists (GeoAxis City Search).
- Verify. Compare the candidate with Street View, Mapillary or satellite imagery. In GeoAxis City Search the Street View is already open beside your photo.
The fairest test of any of these tools is your own: run five photos you already know the answers to through two or three of them, and compare the distance error and how quickly you could confirm each answer.
By Use Case
Different question, different starting point: where was this photo taken for a general scene, house finder AI for a street address from a photo of a building, and GeoGuessr AI for Street View screenshots.
GeoAxis