Find a location from a photo online with a free Surface scan. Upload a JPG, PNG, or WebP, then check the suggested place against the scene. No GPS or EXIF tags are needed.
Run a free Surface scan on this page without signing up. Compare its suggested place with the signs, buildings and road layout in your photo. A map pin is a hypothesis; keep it unconfirmed until the scene agrees.
If you have the original photo, check its GPS tags first. Screenshots and shared images may have lost them. Tags can also be edited, so compare them with the scene.
Check a readable sign, a road junction and the neighboring buildings together. A different facade or road alignment can rule out a plausible-looking result.
A detailed D3 analysis uses 10 credits to investigate further. It can still be inconclusive, especially with dark scenes, generic interiors or tight crops. Paying does not guarantee an exact address.
Compare the tower, neighboring facades, and the direction of the street in reference imagery. A London estimate still needs a separate check of the exact camera position.
Try this sample in the upload toolOceanir is free to try in the browser with no credit card. Starter is $10 per month for 30 credits, including access to D3. Pro is $29 per month for 100 credits. Pro includes capped API access for individual development and low-volume internal use. Organizational, client-facing, batch, and production integrations require Enterprise. Enterprise plans 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
No GPS needed.
No metadata needed.
AI reads the scene.
Have a photo with no location attached? Oceanir uses signs, roads, buildings, and terrain to suggest places you can investigate.
You might be checking a photo's caption, reviewing a claim, or trying to recognize a place. Start with the image and the question you need to answer.
A video claims to show an event in a particular city. Check its visible landmarks and street layout against that location before publishing.
A claim includes a damage photo without location metadata. Check whether its surroundings fit the reported address.
An archive photo has no location label. Use its buildings, signs, and landscape to look for possible places, then check historical sources.
You want to recognize a place in a travel photo. Start with the visible landmarks and compare possible locations.
Shared photos and screenshots often have no location metadata. Visible details may still help you place the scene, though some images won't contain enough clues.
Upload a clear image, compare the suggestions, and check the strongest match.
Upload a JPG, PNG, or WebP. For video, save a clear frame with visible surroundings and upload it as an image.
Oceanir doesn't need an exact copy of your photo to exist online. It reads the scene for clues such as road markings, signs, buildings, and vegetation, then compares them with geographic reference data.
Example: Left-hand traffic, yellow rear plates, and terraced brick houses could suggest the UK. None of those clues proves the location alone. Check them together, then compare the scene with reference imagery.
Review the candidate locations and their confidence scores. Compare the image with the map and available street-level imagery. Keep notes on what matches and what doesn't before accepting a location.
Many social and messaging services remove location metadata from shared photos. A metadata reader can't recover coordinates that are no longer in the file.
Oceanir uses what's visible in the image: buildings, road markings, signs, terrain, and vegetation. It doesn't need GPS coordinates stored in the file.
You can try screenshots, re-saved photos, and images from messaging apps. The result depends on how many useful location clues remain visible.
Start with the original file if you have it. GPS tags can provide coordinates; an indexed copy may give you a caption or source. Visual analysis helps when those clues are missing.
To compare copies of an image with scene-based analysis, read our reverse image geolocation guide. To inspect the clues a tool can use, try the photo location finder.
Reverse image search and geolocation can help with different parts of a search. Looking for a copy may reveal the source; examining the scene may suggest where it was taken.
A photo from WhatsApp with metadata stripped
Missing GPS tags leave a metadata reader with no coordinates.
Uses buildings, roads, and vegetation to suggest possible locations.
A screenshot of a Google Street View frame
A screenshot may still match reference imagery, but cropping can remove useful context.
Reads the visual content in the screenshot the same way it reads other scene media.
A generic suburban road with no landmarks
Similar roads appear in many places, so a visual match may be ambiguous.
Can use road markings and street details to suggest an area, but may not find an exact location.
A heavily compressed photo
Compression can make sign text and small details unreadable.
Can use details that remain visible. Heavy compression can still make the image impossible to place.
An indoor photo through a window
A generic interior may have few useful location clues.
Can examine buildings and terrain visible outside. A limited view may only support a broad estimate.
If a reverse image search doesn't find a useful match, try analyzing the scene itself. Oceanir can suggest locations from visible clues, though it may still be unable to place the photo.
Upload a photo to try a location estimate. No credit card required.
Upload your photoYes. Oceanir uses visible clues such as roads, signs, and buildings to estimate a location. It can analyze screenshots and shared photos even when GPS and EXIF tags are missing.
Results depend on the photo. Distinctive signs, buildings, and terrain give the model more to work with.
Clear outdoor scenes with roads, signs, storefronts, or distinctive terrain work best. Interiors, dark images, tight crops, and close-up portraits usually contain fewer useful location clues.
Free to try, no credit card required. The Surface scan on this page is free without signup. Workspace analyses use credits. Pro includes capped API access for individual development and low-volume internal use. Organizational, client-facing, batch, and production integrations require Enterprise. Paid plans include Starter for occasional D3, Pro for individual verification workflows, and sales-led Enterprise plans.
Yes. Save a clear frame from the video as a JPG, PNG, or WebP and upload it. Choose a frame that shows the surrounding scene.
No. A detailed analysis investigates more clues, but it can still be inconclusive. Generic interiors, dark scenes and tight crops may not contain enough evidence to establish an address. Check the free result and the example workflow before choosing a plan.
Yes. Signs, facades and roads can change after a reference image was captured. Check the imagery date and compare several stable features. A mismatch or missing imagery is a reason to keep the location unconfirmed.
Oceanir is free to try in the browser with no credit card. Starter is $10 per month for 30 credits, including access to D3. Pro is $29 per month for 100 credits. Pro includes capped API access for individual development and low-volume internal use. Organizational, client-facing, batch, and production integrations require Enterprise. Enterprise plans 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