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Find where an image was taken.
Verify the evidence behind it.

Where Was This Photo Taken?

Upload a photo to get suggested locations and clues you can check on the map. No GPS or EXIF tags are needed.

No GPS or EXIF required/Free surface scan/Evidence workspace/How it works

Photo location, answered

How to find where a photo was taken

Upload the photo and review Oceanir's suggested locations. It uses details such as signs, roads, buildings, and vegetation without needing location metadata. Compare the strongest candidates with reference imagery before accepting a match.

Can AI tell where a picture was taken?

Yes, when the image contains useful clues. Signs, distinctive buildings, and road layouts may suggest a location. Precision varies; a clear landmark can help, while a generic scene may remain unresolved.

Does it work without GPS or EXIF metadata?

Yes. Oceanir reads the visible scene without requiring GPS or EXIF tags. Screenshots and shared photos can work if they still show enough detail.

Free reverse image location lookup

You can start with a free location estimate. Paid plans offer additional analysis depths and review tools. Check the pricing page for current credit allowances and included features.

What does Oceanir cost?

Oceanir is free to try in the browser with no credit card. Starter is $10 per month for 30 credits (D1 and D2). Pro is $29 per month for 100 credits, D3 forensic depth, Street View verification, and API access. Enterprise plans for teams and pooled credits are quoted per organization. Full plans: https://oceanir.ai/pricing

Can OSINT analysts geolocate a photo without EXIF?

Yes. Oceanir can suggest locations for photos and video frames without GPS or EXIF tags. Review the candidate locations and visible clues, then compare them with maps and independent sources. See the workflow: https://oceanir.ai/osint-image-geolocation

Where Was This Photo Taken?

Oceanir helps you look for a photo's location from signs, buildings, roads, and other visible details. Review the suggested places and check them against reference imagery. You can use screenshots and shared photos without GPS or EXIF tags.

Where Is This At?

Upload the image in your browser. Oceanir suggests possible locations from the scene and gives you candidates to investigate. No location metadata is required.

More Ways to Find a Photo Location

Step 1

01:   Prepare your image
Choose a photo with visible surroundings: a street, signs, buildings, or distinctive terrain. Tight crops and generic interiors give the model fewer clues.
FormatsJPG, PNG, or WEBP
QualityAvoid heavy blur or extreme cropping
MetadataNot required. We rely purely on visual AI.
Analysis
Workflow
Evidence

Step 2

02:   Run location verification
Oceanir compares the visible scene with geographic reference data and returns suggested locations. Processing time depends on the image and analysis depth.

1. Drop your image or paste a URL.

2. Takes about 10 seconds.

3. Reads roads, buildings, signs, terrain.

4. Returns ranked matches with confidence scores.

Step 3

03:   Review the evidence
Compare the candidates on the map. Check recognizable details against reference imagery and record why you accepted or rejected a match.

Review the capture
location

Start with the Oceanir demo. Upload an image and review ranked location evidence.

Start Review

Why Oceanir

Oceanir estimates where a scene is, even when the original photo isn't indexed online. You still need to check the suggested location.

Upload the picture to Oceanir for suggested locations and confidence scores. It uses visible clues without needing GPS or EXIF tags. Check the candidates against maps and reference images. Your plan determines which additional review and export tools are available.

Oceanir uses signs, buildings, roads, and other visible details to suggest where an image was taken. You can review candidate locations and confidence scores for photos, screenshots, and video frames without location metadata.

Upload the image and review the suggested locations. A distinctive landmark may support a precise match, while an interior or generic scene may be impossible to place. Don't assume every image can be located.

Try uploading the image to Oceanir in your browser. It uses the scene to suggest possible locations without GPS or EXIF tags. Compare the candidates with maps and reference photos.

Oceanir can help you investigate a photo's location from visible details such as signs, buildings, and roads. The result is an estimate with candidates to check. It can also analyze screenshots and clear video frames.

Upload the image, review the suggested locations, and compare the visible clues with maps and reference photos. Use other sources to corroborate a match.

Yes. Oceanir analyzes the visible scene, so GPS and EXIF tags aren't required. Clear surroundings give it more location clues to work with.

Accuracy depends on the scene and reference coverage. Clear signs, distinctive buildings, and recognizable roads help. Some photos won't contain enough clues to locate.

Yes, but high-resolution images help. Heavy compression, blur, night scenes, or extreme crops reduce confidence.

AI can suggest where a photo was taken by examining signs, buildings, roads, and other visible details. Oceanir returns candidate locations to check; it doesn't guarantee a match.

Upload the photo and compare Oceanir's suggested locations. Review the visual clues and available reference imagery before accepting the top result.

Test tools on images similar to yours and compare their results with known locations. Oceanir offers candidate locations, confidence scores, and review tools. Available analysis depths and exports depend on your plan.

Oceanir is free to try in the browser with no credit card. Starter is $10 per month for 30 credits (D1 and D2). Pro is $29 per month for 100 credits, D3 forensic depth, Street View verification, and API access. Enterprise plans for teams and pooled credits are quoted per organization. Full plans: https://oceanir.ai/pricing

Yes. Oceanir can suggest locations for photos and video frames without GPS or EXIF tags. Review the candidate locations and visible clues, then compare them with maps and independent sources. See the workflow: https://oceanir.ai/osint-image-geolocation