Find Region

Find the likely city or region.

Upload a photo or video frame. Raven uses the visible scene to suggest where it may have been taken. No GPS metadata required.

Book a demo → See how it works

Available to verified agencies. Demo on request.

The example frame: a coffee cup on a balcony railing, with out-of-focus trees behind it
  1. 01Start with a single frame. This one has no landmark, sign, or GPS data.
  2. 02Raven compares it with visual patterns learned from geotagged imagery.
  3. 03The closest matches are ranked by visual similarity.
  4. 04On the map, the matches become candidate locations.
  5. 05Four of five fall around Austin, Texas. The fifth stays visible as an outlier.
  6. 06One detail rarely identifies a place. Together, vegetation, light and materials narrow it down.
  7. 07It’s an estimate: about 15 miles around the top match. Refine it with Find Street

Illustration. Candidates and radius from the result below.

The result, in Raven.

Raven ranked Austin, Texas first. Four of the five candidates fell in the same area; the fifth, in Stockholm, stayed visible as an outlier.

Raven Find Region result showing Austin, Texas, United States at 90 percent similarity with 4 of 5 results in this region
Example result: five ranked candidates, and an approximate 15-mile radius around the top one. Candidates are investigative leads, not confirmed locations, and require verification.

What you get back.

Ranked candidates for investigator review. Raven also shows when several fall in the same area.

Place
City, state or region, and country.
Coordinates
A latitude and longitude point for each candidate.
Radius
The approximate area around the candidate.
Similarity score
Orders candidates against one another. It is not a probability that a location is correct.

Focus your next search.

Find Region narrows an unknown image to candidate areas. When street-level coverage is available, pass the same frame and selected region to Find Street for further refinement.

Explore Find Street
Raven result detail: Austin, Texas at 90 percent similarity, 4 of 5 results in this region, an approximate 15-mile radius, and a Refine in Austin button
From the example result: refine the search inside Austin.

Powered by Graylark's proprietary computer-vision models.

Common questions.

Does Find Region need EXIF or GPS metadata?

No. Find Region works from the visible image, so screenshots, social-media downloads, and re-encoded files can still be processed.

How does Find Region work?

Find Region is trained on geotagged imagery and learns relationships between visual patterns and geography. It uses those learned relationships to rank candidate locations for a new image.

What does the similarity score mean?

It ranks candidates by visual similarity. It is not a probability that the location is correct.

How precise is the result?

Find Region returns candidate areas with an approximate radius. Use Find Street for street-level refinement or Find Property to match a specific interior or exterior within a supported city.

What kinds of images work best?

Outdoor images with meaningful environmental or structural context generally provide more information. Recognizable landmarks can help, but they are not required.

Who can use it?

Raven is available to verified agencies and investigative teams. Access is granted after review.

New to the discipline? Our guide to image geolocation covers why metadata so often falls short and how investigators locate photos without it. For the workflow from photograph to lead, see Image Geolocation for Law Enforcement.

See Find Region in Raven.

Book a walkthrough with your team. Raven is available to verified agencies and investigative teams.

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